Source: https://patents.google.com/patent/US9007365
Timestamp: 2018-02-20 18:43:42
Document Index: 692475559

Matched Legal Cases: ['Application No. 01779', 'Application No. 2002305387', 'Application No. 2', 'Application No. 2', 'Application No. 02', 'Application No. 02']

US9007365B2 - Line depth augmentation system and method for conversion of 2D images to 3D images - Google Patents
Line depth augmentation system and method for conversion of 2D images to 3D images
US9007365B2
US9007365B2 US13686907 US201213686907A US9007365B2 US 9007365 B2 US9007365 B2 US 9007365B2 US 13686907 US13686907 US 13686907 US 201213686907 A US201213686907 A US 201213686907A US 9007365 B2 US9007365 B2 US 9007365B2
Active, expires 2033-07-03
US13686907
US20140146037A1 (en )
A line depth augmentation system and method for conversion of 2D images to 3D images. Enables adding depth to regions by altering depth of lines in the regions, for example in cell animation images or regions of limited color range. Eliminates creation of wireframe or other depth models and complex modeling of regions to match the depth of lines therein. Enables rapid conversion of two-dimensional images to three-dimensional images by enabling stereographers to quickly add/alter line depth without artifacts in images for example lines in monochrome regions. Embodiments may output a stereoscopic image pair of images with lines having desired depth, or any other three-dimensional viewing enabled image, such as an anaglyph image. Although the lines may be of a different depth than the region they appear in, the human mind interprets the monochromatic region as having depth associated with the line.
One or more embodiments of the invention are related to the field of image analysis and image enhancement and computer graphics processing of two-dimensional images into three-dimensional images. More particularly, but not by way of limitation, one or more embodiments of the invention enable a line depth augmentation system and method for conversion of 2D images to 3D images. Embodiments enable adding or augmenting lines with depth, for example in cell animation images or other images having limited color range on a region by region basis in which the lines appear, for example without modeling the lines as part of a wireframe or other depth model. This enables rapid conversion of two-dimensional images to three-dimensional images by enabling stereographers to quickly add depth to lines in images without modeling or precisely matching the depth of the line to the region in which the line appears. Embodiments may output a stereoscopic image, e.g., a three-dimensional viewing enabled image, such as an anaglyph image or pair of images for left and right eye viewing of different horizontally offset viewpoints for left and right eyes, for example with lines having the desired depth.
Three-dimensional images include any type of image or images that provide different left and right eye views to encode depth, some types of three-dimensional images require use of special glasses to ensure the left eye viewpoint is shown to the left eye and the right eye viewpoint is shown to the right eye of an observer. Existing systems that are utilized to convert two-dimensional images to three-dimensional images typically require rotoscoping of images to create outlines of regions in the images. The rotoscoped regions are then individually depth adjusted by hand to produce a left and right eye image, or single anaglyph image, or other three-dimensionally viewable image, such as a polarized three-dimensional image viewed with left and right lenses having different polarization angles for example.
Current methods of adding depth to regions including lines require stereographers to add depth to the region in which line occurs. This is the case since all regions in an image that are to be depth modified are modeled in known systems regardless of whether or not they contain limited colors that do not have visual indications of depth. In other words, areas where the lines exist must generally be modeled to be part of a three-dimensional shape, e.g., a sphere or other volume. Thus, time is required to model areas in cell animation that does not necessarily need to be precisely modeled since the areas surrounding the lines may be of a single color, or of limited range for example.
In addition, typical methods for converting movies from 2D to 3D that may include hundreds of thousands of frames require tremendous amount of labor for modeling, and generally utilize an iterative workflow for correcting errors. The iterative workflow includes rotoscoping or modeling objects in each frame, adding depth and then rendering the frame into left and right viewpoints forming an anaglyph image or a left and right image pair. If there are errors in the edges of the masked objects for example, then the typical workflow involves an “iteration”, i.e., sending the frames back to the workgroup responsible for masking the objects, (which can be in a country with cheap unskilled labor half way around the world), after which the masks are sent to the workgroup responsible for rendering the images, (again potentially in another country), wherein rendering is accomplished by either shifting input pixels left and right for cell animation images for example or ray tracing the path of light through each pixel in left and right images to simulate the light effects the path of light interacts with and for example bounces off of or through, which is computationally extremely expensive. After rendering, the rendered image pair is sent back to the quality assurance group. It is not uncommon in this workflow environment for many iterations of a complicated frame to take place. This is known as “throw it over the fence” workflow since different workgroups work independently to minimize their current workload and not as a team with overall efficiency in mind. With hundreds of thousands of frames in a movie, the amount of time that it takes to iterate back through frames containing artifacts can become high, causing delays in the overall project. Even if the re-rendering process takes place locally, the amount of time to re-render or ray-trace all of the images of a scene can cause significant processing and hence delays on the order of at least hours. Each iteration may take a long period of time to complete as the work may be performed by groups in disparate locations having shifted work hours. Eliminating much of the modeling of objects that do not need to be modeled due to their lack of visual indications of depth as is the case in cell animation generally would provide a huge savings in wall-time, or end-to-end time that a conversion project takes, thereby increasing profits and minimizing the workforce needed to implement the workflow.
Hence there is a need for a line depth augmentation system and method for conversion of 2D images to 3D.
Embodiments of the invention accept input for example from a person responsible for masking, to mask lines that may be depth augmented using an embodiment of the system for example. In one or more embodiments, the mask associated with a line may be automatically or semi-automatically created by the system. The system for example may accept an input for the mask and search for high contrast areas and build masks iteratively, pixel-by-pixel through a fill algorithm or operation. In one or more embodiments, the mask may be made slightly larger than the line since the color surrounding the line is generally monochrome. Hence, when depth is added to the line there are no artifacts on the edges since the left and right offsets of area surrounding the line place image data that is of the same color in a horizontal offset over the same color. If the person who is responsible for masking creates masks first, the masked lines then may be viewed by a stereographer who then indicates the depths at which to place lines that exist in a two-dimensional image to convert the image to a three-dimensional image. Alternatively or in combination, the person responsible for masking and the stereographer may work in either order or together on a particular image in parallel or serially as desired. In one or more embodiments of the invention, the input for depth of a line is accepted by the system and displayed at the depth indicated on the three-dimensional version of the two-dimensional input image. In one or more embodiments, the depth may be specified using a graphical input device, such as a graphics drawing tablet. In other embodiments or in combination, depths may be input via a keyboard, or via voice commands while drawing annotation information or symbols for example. After the depth is associated with the respective line, the line is offset by the proper horizontal left and right amount to make a stereoscopic image or pair of images that enable three-dimensional viewing. The line may be adjusted in depth without altering the shape or depth of the region in which the line occurs since there are generally no visual indications of depth in a cell animation region having a single color or small variation of color for example.
Embodiments of the invention make this process extremely intuitive as the depth to apply to lines is input easily and avoids modeling and the associated labor required to model objects that have lines. Since animated images generally have no visual color variations on monochrome characters or homogenous color portions of objects or regions, the lines may be depth adjusted without applying varying depth of objects to match the depth applied to the lines in those objects, which saves a great deal of time in specify, an adjusting depth of lines, for example without complex modeling or re-rendering.
When rendering an image pair, left and right viewpoint images and left and right absolute translation files, or a single relative translation file may be generated and/or utilized by one or more embodiments of the invention. The translation files specify the pixel offsets for each source pixel in the original 2D image, for example in relative or absolute form respectively. These files are generally related to an alpha mask for each layer, for example a layer for an actress, a layer for a door, a layer for a background, etc. These translation files, or maps are passed from the depth augmentation group that renders 3D images, to the quality assurance workgroup. This allows the quality assurance workgroup (or other workgroup such as the depth augmentation group) to perform real-time editing of 3D images without re-rendering for example to alter layers/colors/masks and/or remove artifacts such as masking errors without delays associated with processing time/re-rendering and/or iterative workflow that requires such re-rendering or sending the masks back to the mask group for rework, wherein the mask group may be in a third world country with unskilled labor on the other side of the globe. In addition, when rendering the left and right images, i.e., 3D images, the Z depth of regions within the image, such as actors for example, may also be passed along with the alpha mask to the quality assurance group, who may then adjust depth as well without re-rendering with the original rendering software. This may be performed for example with generated missing background data from any layer so as to allow “downstream” real-time editing without re-rendering or ray-tracing for example.
In summary, embodiments of the invention minimize the time to augment lines with depth, for example for cell animation by accepting or automatically generating masks for lines to avoid modeling objects, or minimize modeling of objects in which the lines appear. Embodiments of the system also save time by eliminating re-rendering by other work groups, and allow depth to be correctly input local to a work group.
FIG. 2 shows an input two-dimensional image having lines at which depth is to be applied without requiring precise modeling of the object in which the lines appear.
FIG. 3 shows a masked version of the two-dimensional image showing masked lines in an object to apply depth to and various regions of the object in which depth can be applied if desired.
FIG. 4 shows annotations for desired depth of one of the lines shown in FIG. 3, wherein the annotations may be viewed in three-dimensional depth with anaglyph glasses.
FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses.
FIG. 6 illustrates a close up view of a portion of a line on the region wherein the line does not match the depth of the region but rather implies a depth for the human mind to interpret for the region.
FIG. 7 illustrates a side view of the depth of the region and line shown in FIGS. 4-6.
FIG. 8 illustrates an example of a style guide for use in the creation of lines and other regions.
FIG. 1 shows an architectural view of an embodiment of the system 100. As illustrated, computer 101 is coupled with any combination of input devices including graphics tablet 102 a, keyboard 102 b, mouse 102 c and/or microphone 102 d. Computer 101 may obtain a two-dimensional image and display the image on screen 103. The image may be obtained from any local or remote memory device associated with or accessible by the computer for example. Screen 103 may display a single image that may be viewed at depth, for example as an anaglyph using two different colors shifted left and right that may be viewed with glasses with lenses of two different colors, e.g., Red and Blue to view the image as a three-dimensional image for example. In general, the two-dimensional image may have multiple lines within regions that are to be converted to different depths, for example first line 151 a, e.g., an eye or eyebrow and second line 151 b, a nose for ease of illustration. Any lines representing any object may be depth augmented using embodiments of the invention.
Embodiments of the system accept a mask having an area associated with a line, for example in a monochrome region or region that varies little in color, in the two-dimensional source image, for example line 151 a or line 151 b in the cartoon character shown as a face, that may be of a monochrome color, or limited color range for example that does not provide any visual indication of depth or depth variation. The methods for building the mask are detailed further below. Embodiments of the system also accept a depth associated with the line or lines within the region, for example monochrome region, in the two-dimensional source image via an input device coupled with the computer. Embodiments apply the depth to the area of the two-dimensional image defined by the mask to create a three-dimensional image, for example without altering a depth of a remainder of the monochrome region where said mask does not occur. Other embodiments enable accepting a second depth for at least a portion of the mask and changing the depth of the output image without any modeling of the region in which the line occurs and without re-rendering or re-ray-tracing.
Embodiment accept the mask or accept the depth or both by accepting an input from the graphics tablet, or the mouse, or the keyboard, or the microphone or any combination thereof. In one or more embodiments the system accepts an input location within the two-dimensional source image via one of the input devices and obtains the color of the pixel at the input location. The area associated with the mask is increased to include all of the contiguous pixels that are within a predetermined range of the color of the pixel, for example analogous to a paint fill operation. The predetermined range of the color may be set to a predetermined percentage of a volume of a color space, or predetermined threshold of luminance associated with the color, or set to zero to exactly match the selected pixel's color as a seed for the mask for example. Embodiments optionally may increase the size of the mask by a predetermined size, for example a predetermined number of pixels or percentage of thickness of the line or any other method. This provides for a more robust or tolerant depth setting operation that results in less artifacts since the region surrounding the line is primarily or totally of one color. In other words, shifting the line and a small portion of a single color around the line, left and right to create a left and right viewing angle causes the line and the single color near the line to be shifted over the same color when altering the depth of the line. Thus, the area surrounding the line does not have to be remodeled or re-rendered to change the depth of the line and since there are no visual indications of depth in the surrounding area the lines potentially float above the area, however the human eye cannot detect this since the area surrounding the line is of one color. Hence, a great deal of modeling is bypassed with depth of an area interpreted by the human mind as having the depth of the line at the differing depth on the single color area.
One or more embodiments of the system accepts the depth through analysis of motion data obtained from the graphics tablet or mouse, i.e., if the mouse or graphics tablet is sending data indicative of motion away from the user, then the depth may increase, or by moving the mouse or pen on the graphics tablet closer to the user, the depth may decrease. Alternatively or in combination, the acceptance of depth may be performed by parsing alphanumeric data from the keyboard to determine the depth. This enables a user to type in a positive or negative number and set the area to augment depth associated with the mask through numeric input for example. In one or more embodiments another annotation file may be associated with the two-dimensional source image and that image may be analyzed for script or text via optical character recognition software to obtain depth values. Alternatively or in combination, voice recognition software may be utilized to input values for depth that are accepted by the system, for example with a particular mask selected via the mouse or graphics tablet, etc. Positive or negative numbers may be utilized to indicate further or nearer depth depending on the particular studio or organization that is adding depth and embodiments of the invention may utilize any scale or range or units of measure to indicate depth.
Any method of creating the resulting three-dimensional image may be utilized include generating a pair of images that includes one image for viewing with a left and right eye respectively. Alternatively, the system may generate a single anaglyph image for each input two-dimensional image for viewing with glasses having lenses of two different colors. In addition, any other type of single image that encodes left and right eye information such as polarized images is in keeping with the spirit of the invention. Regardless of the type of output image technology utilized to view the image, the area of the mask is displaced relative to the original location in the two-dimensional source image left and right based on the depth to create the three-dimensional image.
FIG. 2 shows an input two-dimensional image. As shown, a character having a monochrome region, e.g., the face of the character, having lines, here an eyebrow and nose for example. FIG. 3 shows a masked version of the two-dimensional image showing regions within each object to optionally apply depth or shapes to. This enables a basic application of depth to an area without highly complex modeling to match the depth shape of the lines in the image. The underlying source color associated with the particular regions 360 a and 360 b are of one color or of a limited color range (see FIG. 2) although the region masks 360 a-b are shown in different colors to indicate potentially different depths or depth shapes may be applied. The underlying source color for regions 360 c-e are also one color, (see FIG. 2). Since regions 360 c-e are masks for underlying areas of one color, or at least close to it, and the lines to be depth adjusted occur thereon, left and right translations of the lines thereon may be performed by masking the lines and generously translating around the lines with slightly enlarged masks to ensure no artifacts occur. For example, in one or more embodiments, mask 351 a for the underlying line associated with the eyebrow and mask 351 b for the underlying line associated with the nose for example are optionally of a predetermined thickness greater than the underlying line. Moving the lines with a portion of the surrounding color obtained by the slightly larger mask 351 a-b to the left and right to provide two viewpoints for stereoscopic viewing occurs without complex matching of the line shape to the underlying shape of the region and without artifacts since the color surrounding the shifted foreground line is displaced onto on the same color when generating a left or right eye translated viewpoint. This allows for a different depth or contour that varies in depth to be applied to the lines to indicate depth to the object for the human mind to fill in, that otherwise has no visual indication of depth by altering the depth of the line. In other words, the mask region 360 d for example may have a basic depth contour applied, but has not color or shading variations and hence the lines on that area may float over them to persuade the human mind that the underlying region actually has depth. Again, minimal application of depth to the background with depth applied to the lines on that limited color range region provides a visual indication of depth to the human mind, without requiring complex modeling of the regions that contain the lines.
In one or more embodiments, the lines may be animated over time, for example enlarged, morphed or otherwise reshaped or moved or with a varying color for example to enhance the expression of the line. This saves a tremendous amount of time since the background region or regions that have common boundaries are not required to be remodeled or rendered again to simply changed the apparent human recognizable depth of the region, since the depth of the region can be implied to the human mind by changing the depth profile of the line in the region. Hence, the lines may float over the underlying region wherein the human mind does not interpret the region and line as having distinct depths. In addition, only the lines that need to be depth altered to indicate depth for a region are masked and/or depth modified.
The other great benefit of one or more embodiments is that for traditional cell animation, lines slightly move from one frame to the next when a human has drawn the lines. In this scenario, using a slightly larger mask than the line enables less tweening or mask reshaping or mask moving to following the exact shape of the line. Hence, a slightly larger mask enables far less work in tracking the mask through a scene.
In one or more embodiments, lines may be automatically selected by the system based on contrast, luminance, color or any other visual component or characteristic, such as thickness of a color area. For example, in one or more embodiment, line isolation processing may include a dilation of color and/or blur of the image, followed by a subtraction of the image from the original image to detect lines, which works well in cell animation where objects may be of a homogenous color for example. One or more embodiments may highlight all detected lines, lines over a certain length or thickness or curvature or any other feature associated with the lines. Embodiments may show the suggested lines for depth application highlighting a suggested mask or inverting a color or in any other manner. In one or more embodiments, the lines selected may have boundaries over a certain distance to a different background color so that lines further away from the edge of a character are suggested for depth enhancement for example. Embodiments of the invention accept an input to the suggested mask or accept inputs for drawing masks as well.
FIG. 4 shows optional annotations for desired depth at a specific depth for general messages or at the depth of the desired region for example, wherein the annotations may be viewed in three-dimensional depth with anaglyph glasses. As shown, the two-dimensional image is still in two-dimensions, i.e., the depth across the entire image does not vary. In other words, the two-dimensional image along with the three-dimensional annotations specify the depths to apply to particular areas or regions and is used as an input to the depth augmentation group for example. The depth group then moves the associated regions in depth to match the annotations in an intuitive manner that is extremely fast and provides a built-in sanity check for depth. Using this method, it is inherently verifiable whether a depth of a region is at or about at the depth of the associated annotation. As shown, line 451 a that represents an eyebrow on a monochrome region is shown without an associated annotation, while line 451 b that represents a nose is shown with an annotation that suggests a 10 pixel forward depth shift. In one or more embodiments, line 451 a may float over the region in which the line appears, however, the human mind interprets the area where the line occurs as having the depth contour associated with the line even if the region does not have this contour or depth shape. This is because the limited color range of the region in which the line appears otherwise gives no visual indication as to the depth of the region. Hence, the human mind fills in the depth of the region according to the depth of the line.
FIG. 5 shows the input image converted to three-dimensional image in anaglyph format, which may be viewed in three-dimensional depth with anaglyph glasses. As shown, the individual lines 151 a and 151 b as shown in FIG. 2, having corresponding areas of masks 351 a and 351 b respectively as shown in FIG. 3 are shifted in depth to produce an output three-dimensional image. The lines are not generally at the depth of the region in which they appear but are rather the elements in the figure that give the appearance of depth to the region in which the lines appear. This enables simple modeling of depth for the regions in which the lines appear as opposed to the creation of a 3D wire model, or other sophisticated volumetric module to be applied to each region. As the cell animation moves around from frame to frame, for example based on individual artistic hand drawn lines, the generous masking applied to the lines minimize the tracking of the lines between frame to frame while still providing the appearance of depth applied to the line and thus implied to the human mind for the whole region.
FIG. 6 illustrates a close up view of a portion of a line on the region wherein the line does not match the depth of the region but rather implies a depth for the human mind to interpret for the region. As shown in close up, line 451 a is of a depth that does not necessary correspond to the shape of, or the depth of the region in which the line resides.
FIG. 7 illustrates a side view of the depth of the region and line shown in FIGS. 4-6 wherein line 451 a has had a depth added to portions of the line to offset line 451 a from regions 360 f and 360 g in which the line appears. As shown by dotted depth indicators 701 for illustrative purposes, the depth of line 451 a has been offset from regions 360 f and 360 g in order to give regions 360 f and 360 g an implied depth without requiring modeling of the underlying region with wireframe models, etc. This method may be applied to a line that lies in one region or multiple regions as described for exemplary purposes. This enables an extremely fast method for providing one or more regions with implied depth without requiring extensive depth modeling for the region or regions. For example region 360 f may have a simple curve or other depth offset applied as is shown in the exemplary side view of FIG. 7 while the depth of line 451 a is adjusted with a slightly larger mask than the line so as to imply depth to the region. Given the underlying regions of a single or nearly single color, any masking errors are basically undetectable to the human eye as the shifted over-masked area falls on the same color background when shifted horizontally for left and right eye stereoscopic viewing. The human eye believes the entire region to be at the depth contour provided by the line, however the amount of labor required to add depth to the image is greatly lowered with embodiments of the invention. See also FIG. 6 with anaglyph glasses to view the lines at a different depth than the background.
FIG. 8 illustrates an example of a style guide for use in the creation of lines and other regions, e.g., the eyelashes, the mole, the chin, etc. As shown, the instructions 801 for augmenting lines with depth are shown for example in a key frame. The instructions are then utilized to focus work on the lines that depth may be added to in order to minimize work, for example to minimize modeling of the regions having lines. This enables consistent work product to be generated for a particular scene and further lowers the amount of effort that is performed in augmenting a scene with depth.
As illustrated, embodiments of the invention minimize the amount of work required to generate depth associated with lines for areas without requiring complex modeling of the areas and enable the lines to be altered without complex remodeling or re-rendering.
1. A three-dimensional annotation method performed by a computer system for conversion of two-dimensional images to three-dimensional images comprising:
obtaining a two-dimensional source image;
displaying said two-dimensional source image on a screen associated with a first computer;
accepting a mask having an area associated with a line in a monochrome region in said two-dimensional source image;
accepting a depth associated with said line within said monochrome region in said two-dimensional source image via an input device coupled with said first computer;
applying said depth to said line of said area of said mask in said two-dimensional image to create a three-dimensional image without altering a depth of a remainder of the monochrome region where said line of said area of said mask does not occur.
2. The method of claim 1 wherein said input device comprises a graphics tablet, mouse, keyboard or microphone or any combination thereof and wherein said accepting said mask or accepting said depth or both, comprises accepting input from said graphics tablet, or said mouse, or said keyboard, or said microphone or any combination thereof.
3. The method of claim 1 wherein said accepting said mask further comprises:
accepting an input location within said two-dimensional source image;
obtaining a color of a pixel at said input location;
increasing said area of said mask to include all contiguous pixels that are within a predetermined range of said color of said pixel.
4. The method of claim 3 further comprises setting said predetermined range of said color to a predetermined percentage of a volume of a color space.
5. The method of claim 3 further comprises setting said predetermined range of said color to a predetermined threshold of luminance associated with said color.
6. The method of claim 3 further comprises setting said predetermined range of said color to zero so that contiguous pixels have said color to be included in said area of said mask.
7. The method of claim 3 wherein said increasing said area of said mask further comprises:
increasing said area of said mask by a predetermined number of pixels.
8. The method of claim 2 wherein obtaining said depth comprises analyzing motion data obtained from said graphics tablet or mouse, or parsing alphanumeric data from said keyboard to determine said depth.
9. The method of claim 1 wherein obtaining said depth comprises analyzing annotations associated with said mask.
10. The method of claim 1 wherein obtaining said depth comprises asserting voice recognition software.
11. The method of claim 1 wherein said applying said depth to said area of said mask in said two-dimensional image to create a three-dimensional image comprises generating a pair of images comprising an image for viewing with a left and right eye respectively.
12. The method of claim 1 wherein said applying said depth to said area of said mask in said two-dimensional image to create a three-dimensional image comprises generating an anaglyph image.
13. The method of claim 1 wherein said applying said depth to said area of said mask in said two-dimensional image to create a three-dimensional image comprises generating an polarized image.
14. The method of claim 1 wherein said applying said depth to said area of said mask in said two-dimensional image to create a three-dimensional image comprises generating single image capable of displaying differing depths.
displacing at least said area of said mask in said two-dimensional source image left and right based on said depth to create said three-dimensional image.
16. A three-dimensional annotation method performed by a computer system for conversion of two-dimensional images to three-dimensional images comprising:
accepting a mask having an area associated with a line in a monochrome region in said two-dimensional source image via an input device coupled with said first computer wherein said input device comprises any combination of graphics tablet, mouse, keyboard or microphone;
accepting a depth associated with said line within said monochrome region in said two-dimensional source image via an input device coupled with said first computer wherein said accepting said depth comprises accepting input from said graphics tablet, or said mouse, or said keyboard, or said microphone or analyzing annotations associated with said mask or any combination thereof;
applying said depth to said line of said area of said mask in said two-dimensional image to create a three-dimensional image without altering a depth of a remainder of the monochrome region where said line or said area of said mask does not occur.
17. The method of claim 16 wherein said accepting said mask further comprises:
18. The method of claim 17 further comprises setting said predetermined range of said color to a predetermined percentage of a volume of a color space or a predetermined threshold of luminance associated with said color.
19. The method of claim 17 wherein said increasing said area of said mask further comprises:
US13686907 2012-11-27 2012-11-27 Line depth augmentation system and method for conversion of 2D images to 3D images Active 2033-07-03 US9007365B2 (en)
US13686907 US9007365B2 (en) 2012-11-27 2012-11-27 Line depth augmentation system and method for conversion of 2D images to 3D images
PCT/US2013/072208 WO2014085573A1 (en) 2012-11-27 2013-11-27 Line depth augmentation system and method for conversion of 2d images to 3d images
US20140146037A1 true US20140146037A1 (en) 2014-05-29
US9007365B2 true US9007365B2 (en) 2015-04-14
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US13686907 Active 2033-07-03 US9007365B2 (en) 2012-11-27 2012-11-27 Line depth augmentation system and method for conversion of 2D images to 3D images
US (1) US9007365B2 (en)
WO (1) WO2014085573A1 (en)
US3647942A (en) 1970-04-23 1972-03-07 Eric J Siegel Video color synthesizer
JPS6052190B2 (en) 1982-10-08 1985-11-18 Kanagawaken
US20070286486A1 (en) * 2006-05-30 2007-12-13 Goldstein Ira P System and method for automated reading of handwriting
A. Michael Noll, Computer-Generated Three-Dimensional Movies, Computers and Automation, vol. 14, No. 11 (Nov. 1965), pp. 20-23.
A. Michael Noll, Stereographic Projections by Digital Computer, Computers and Automation, vol. 14, No. 5 (May 1965), pp. 32-34.
CA Office Action, Dec. 28, 2011, Appl No. 2,446,150, 4 pages.
Daniel L. Symmes, Three-Dimensional Image, Microsoft Encarta Online Encyclopedia (hard copy printed May 28, 2008 and of record, now indicated by the website indicated on the document to be discontinued: http://encarta.msn.com/text-761584746-0/Three-Dimensional-Image.htm).
Daniel L. Symmes, Three-Dimensional Image, Microsoft Encarta Online Encyclopedia (hard copy printed May 28, 2008 and of record, now indicated by the website indicated on the document to be discontinued: http://encarta.msn.com/text—761584746—0/Three-Dimensional—Image.htm).
E. N. Mortensen and W. A. Barrett, "Intelligent Scissors for Image Composition," Computer Graphics (SIGGRAPPH '95), pp. 191-198, Los Angeles, CA, Aug. 1995.
First Examination Report for Indian Patent Application No. 01779/DELNP/2003 dated Mar. 2004. (4 pages).
International Search Report Dated Jun. 13, 2003. (3 pages).
International Search Report dated May 10, 2012, 8 pages.
International Search Report received fro PCT Application No. PCT/US2011/067024, dated Aug. 22, 2012, 10 pages.
Interpolation (from Wikipedia encyclopedia, article pp. 1-6), retrieved from Internet URL:http://en.wikipedia.org/wiki/Interpolation on Jun. 5, 2008.
IPER, Oct. 5, 2013, PCT/US2011/058182, 6 pages.
Joseph Weber, et al., "Rigid Body Segmentation and Shape Description . . . ," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 2, Feb. 1997,pp. 139-143.
Machine translation of JP Patent No. 2004-207985, dated Jul. 22, 2008, 34 pages.
Noll et al., "Stereographic Projections by Digital Computer", Computers and Automation for May 1965, pp. 32-34.
Noll, "Computer-Generated Three-Dimensional Movies" Computers and Automation for Nov. 1965, pp. 20-23.
Office Action for AUS Patent Application No. 2002305387 dated Mar. 9, 2007. (2 pages).
Office Action for Canadian Patent Application No. 2,446,150 dated Jun. 13, 2011. (4 pages).
Office Action for Canadian Patent Application No. 2,446,150 dated Oct. 8, 2010. (6 pages).
Office Action for EPO Patent Application No. 02 734 203.9 dated Oct. 7, 2010. (5 pages).
Office Action for EPO Patent Application No. 02 734 203.9 dated Sep. 12, 2006. (4 pages).
Optical Reader (from Wikipedia encyclopedia, article p. 1), retrieved from Internet URL:http://en.wikipedia.org/wiki/Optical-reader on Jun. 5, 2008.
Optical Reader (from Wikipedia encyclopedia, article p. 1), retrieved from Internet URL:http://en.wikipedia.org/wiki/Optical—reader on Jun. 5, 2008.
Partial Testimony, Expert: Samuel Zhou, Ph.D., 2005 WL 3940225 (C.D.Cal.), Jul. 21, 2005, 21 pages.
Smeulders et al., Tracking Nonparameterized Object Contours in Video, IEEE Transactions on Image Processing, vol. 11, No. 9, Sep. 2002, pp. 1081-1091.
U.S. District Court, C.D. California, Imax Corporation and Three-Dimensional Media Group, Ltd., v. In-Three, Inc., Partial Testimony, Expert: Samuel Zhou, Ph.D., No. CV 05-1795 FMC(Mcx), Jul. 19, 2005, 2005 WL 3940223 (C.D.Cal.), 6 pages.
U.S. District Court, C.D. California, Imax v. In-Three. No. 06 CV 1795. Jul. 21, 2005, Partial Testimony, Expert: Samuel Zhou, Ph.D., 2005 WL 3940225 (C.D.Cal.), 21 pages.
U.S. Patent and Trademark Office, Before the Board of Patent Appeals and Interferences, Ex Parte Three-Dimensional Media Group, Ltd., Appeal 2009-004087, Reexamination Control No. 90/007,578, US Patent No. 4,925,294, Decision on Appeal, 88 pages, Jul. 30, 2010.
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