Source: http://www.google.com/patents/US6141431?dq=6,205,432
Timestamp: 2016-06-26 14:43:21
Document Index: 521798568

Matched Legal Cases: ['art 11', 'art 11', 'art 12', 'art. 16', 'art. 17', 'art 12']

Patent US6141431 - Image processing apparatus - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inPatentsAn image processing apparatus has a hair region selecting part 11 for selecting hair and shade of the hair in a front face image 13, as a removal region 15, on the basis of each pixel value of the front face image 13 which is a front image of a face, and a face surface model 14 showing structural information...http://www.google.com/patents/US6141431?utm_source=gb-gplus-sharePatent US6141431 - Image processing apparatusAdvanced Patent SearchPublication numberUS6141431 APublication typeGrantApplication numberUS 08/595,224Publication dateOct 31, 2000Filing dateFeb 1, 1996Priority dateFeb 2, 1995Fee statusPaidAlso published asDE69636695D1, DE69636695T2, EP0725364A2, EP0725364A3, EP0725364B1, EP1501053A1Publication number08595224, 595224, US 6141431 A, US 6141431A, US-A-6141431, US6141431 A, US6141431AInventorsToshihiko Munetsugu, Masamichi Nakagawa, Yoshiyasu Kado, Fumio MaeharaOriginal AssigneeMatsushita Electric Industrial Co., Ltd.Export CitationBiBTeX, EndNote, RefManPatent Citations (11), Non-Patent Citations (3), Referenced by (137), Classifications (19), Legal Events (5) External Links: USPTO, USPTO Assignment, EspacenetImage processing apparatus
US 6141431 AAbstract
An image processing apparatus has a hair region selecting part 11 for selecting hair and shade of the hair in a front face image 13, as a removal region 15, on the basis of each pixel value of the front face image 13 which is a front image of a face, and a face surface model 14 showing structural information relative to a surface of the face in the front face image 13, and a removal region changing part 12 for changing each pixel value in whole or part of the removal region 15, on the basis of the structural information in the face surface model 14, and at least one pixel value in the front image.
1. An image processing apparatus comprisinga region selecting part for automatically selecting a region of hair or hair and hair shadow in a front face image of a person, on the basis of each pixel value in whole or part of the front image, and a surface model showing structural information including positions of at least eyes, mouth and eyebrows, relative to a surface of a face of the person in the front face image, and a region changing part for automatically changing each pixel value in whole or part of the selected region, on the basis of (a) color information of at least one pixel in the front face image, the at least one pixel being obtained by using said surface model and (b) said surface model, whereinthe front image is a front face image of the face of the person, the surface model shows structural information relative to a surface of the face of the person in the front face image including positions of the eyes, nose, mouth and eyebrows in the front face image, the region selecting part selects a hair region of the person in the front face image in a removal region, and the region changing part changes each pixel value in whole or part of the removal region, on the basis of the structural information in the face surface model including the positions of the eyes, nose, mouth and eyebrows in the front face image, and color information obtained from the at least one pixel value in the front face image. 2. An image processing apparatus of claim 1, wherein the hair has a shade and the hair region selecting part selects the hair of the person as the removal region using the shade of the hair.
8. An image processing apparatus of claim 2, further comprising a fluctuation generating part for adding specific fluctuation component to each pixel value in the removal region, on the basis of color information of at least one pixel in the front face image,wherein at least one pixel in the front face image is not included in the removal region. 9. An image processing apparatus of claim 2, further comprising a face surface model generating part for generating the face surface model, on the basis of the front face image.
12. An image processing apparatus comprising:an image adjusting part on the basis of a surface model showing structural information, including positions of at least eyes and nose, relative to a surface of a face of a person in a front image of the person, and a surface model showing structural information including positions of at least eyes and nose, relative to a surface of a face of another person in a reference image which is a front image of the other person, for applying a specific conversion to said reference image and further to attribute information of each pixel of said reference image, so that a hair or hair and hair shadow of said other person may be suited to the front image of said person, and a synthesis processing part for assigning the hair or hair and hair shadow of said other person in the reference image in which the specific conversion is applied, to said front image, according to the attribute information in which the specific conversion is applied wherein said attribute information of each pixel of said reference image, has at least two kinds of attributes with regard to the hair or hair and hair shadow of the other person. 13. An image processing apparatus of claim 12, whereinthe front image of the person is a front face image which is a front image of a face of the person, the surface model is a face surface model showing structural information relative to a surface of the face of the person, the reference image is a head image which is a front image of a face of the other person having hair, the information model is a face information model showing structural information relative to a surface of the face of the other person in the head image, the specific portion is head portion comprising the hair, or the hair and shade of the hair, the attribute information is hair information held by corresponding the attribute of each pixel in the head image to the pixel, the image adjusting part is a head image adjusting part for applying the specific conversion to the hair information and the head image, and the synthesis processing part is a head synthesis processing part for assigning the front face image for the head portion in the head image in which the specific conversion is applied, according to the hair information in which the specific conversion is applied. 14. An image processing apparatus of claim 13, wherein the head image adjusting part applies the specific conversion to the head image and the hair information, by utilizinginformation of head contour and whole or part of eyes, nose, mouth and eyebrows in the face surface model, and information of head contour and whole or part of eyes, nose, mouth and eyebrows in the face information model. 15. An image processing apparatus of claim 13, wherein the head synthesis processing part comprises:a generating part for generating pixel values of the head portion to be assigned to the front face image, according to the attribute of each pixel of the hair information, by using pixel value of the head image corresponding to the pixel of the attribute, or using the pixel value of the head image and pixel value of the front face image, corresponding to the pixel of the attribute, and a mapping processing part for assigning the front face image for each pixel value of the head portion generated by the generating part. 16. An image processing apparatus of claim 15, further comprising:a synthesis image correcting part for correcting the front face image in which the head portion is assigned by the mapping processing part. 17. An image processing apparatus of claim 15, wherein the generating part comprises at least one of:a hue synthesis part for generating, according to the attribute, a hue by using the pixel value of the head image corresponding to the pixel of the attribute, or using the pixel value of the head image and the pixel value of the front face image, corresponding to the pixel of the attribute, a lightness synthesis part for generating, according to the attribute, a lightness by using the pixel value of the head image corresponding to the pixel of the attribute, or using the pixel value of the head image and the pixel value of the front face image, corresponding to the pixel of the attribute, and a saturation synthesis part for generating, according to the attribute, a saturation by using the pixel value of the head image corresponding to the pixel of the attribute, or using the pixel value of the head image and the pixel value of the front face image, corresponding to the pixel of the attribute. 18. An image processing apparatus of claim 13, further comprising a face surface model generating part for generating the face surface model on the basis of the front face image.
19. An image processing apparatus comprising:a region selecting part for automatically selecting a region of hair or hair and hair shadow in a front face image of a person, on the basis of each pixel value in whole or part of the front image, and a surface model showing structural information including positions of at least eyes, mouth and eyebrows, relative to a surface of a face of the person in the front face image, and a region changing part for automatically changing each pixel value in whole or part of the selected region, on the basis of (a) color information of at least one pixel in the front face image, the at least one pixel being obtained by using said surface model and (b) said surface model, an image adjusting part, on the basis of said surface model of said person, and a surface model showing structural information including positions of at least eyes and nose, relative to a surface of a face of another person in a reference image which is a front image of the other person, for applying a specific conversion to said reference image and further to attribute information of each pixel of said reference image, so that a hair or hair and hair shadow of said other person may be suited to the front image of said person, and a synthesis processing part for assigning the hair or hair and hair shadow of said other person in the reference image to which the specific conversion is applied, to said changed region of said selected region, according to the attribute information to which the specific conversion is applied. Description
It is hence a primary object of the invention to present an image processing apparatus for removing the hair from the front image of the face, estimating the profile of the head in the hair removed area, and painting the estimated range of the head solidly with the skin color of the face.
The video camera 21 is fixed horizontally by the device 23. The A/D converter 22 converts the analog image taken by the video camera 21 into digital image, and generates the front face image 13. The front face image 13 is in a size of 256�256 pixels, being a color image in a width of 8 bits each of R, G, B per pixel. The background color of the front face image 13 is monochromatic.
L&lt;&#952;l0                                                (Eq. 1)
&#952;l1=min(&#945;�La, &#946;�Lm)     (Eq. 2)
L&lt;&#952;l1                                                (Eq. 3)
On the other hand, processing in the case of x0≠xs or x1≠xe is explained. In this case, the removal region changing part 12 picks up a plurality of hues used in the change of pixel values from part of the head contour region, and uses sequentially. For example, 5�5 blocks are picked up from between the eyebrows, and they are sequentially processed by mapping. The lightness assigned to the pixel of point (x0, y0) is supposed to be L0 and the saturation is supposed to be S0. The lightness assigned to the pixel of point (x1, y0) is supposed to be L1 and the saturation is supposed to be S1. The lightness L and saturation S to be mapped to the pixel of point P(X, y0) in the set are determined in Eq. 5.
L=L0�f(x0, x1, X)+L1�(1-f(x0, x1, X))
S=S0�f(x0, x1, X)+S1�(1-f(x0, x1, X))    (Eq. 5)
Finally, the lightness and saturation of the pixel value changing region and its vicinity are smoothed. As a example of smoothing, the 3�3 filter shown in FIG. 7 is used. That is, supposing the lightness and saturation of the pixel of point P(x, y) to be L(x, y), and S(x, y), respectively, the lightness L'(x, y) and saturation S'(x, y) of point P after smoothing are given from Eq. 9. ##EQU5##
aoo =0.5, aij =0.0625 (i=j&#8800;0 and -1&#8806;i,j&#8806;1)
This embodiment is intended to process the digital image taken by the video camera 21, being converted by the A/D converter 22 in a size of 256�256 pixels, and same effects are obtained in the digital image of other size, or digital image taken by scanner or the like. The composition of the face information model 14 is not limited to the one shown in FIG. 4, and similar effects are obtained as far as the eyes, nose, mouth, eyebrows and head contour are clear.
L&lt;&#952;l0                                                (Eq. 11)
&#952;l1=min(&#945;�La,&#946;�Lm)
&#952;S=&#947;�Sa                               (Eq. 13)
L&lt;&#952;l1                                                (Eq. 14)
L&lt;a�&#952;l1 and S&lt;&#952;s                      (Eq. 15)
L&lt;b�&#952;l and S&lt;&#952;s                       (Eq. 16)
Explained next is the processing in the case of x0≠xs or x1≠xe. As the hue used in change of pixel values, a plurality of pixels are picked up from part of the head contour, and used sequentially. For example, picking up 5�5 pixel blocks from between the eyebrows, they are mapped sequentially. Supposing the lightness of a certain pixel after change to be L, and the saturation to be S, S is given in Eq. 18. ##EQU7##
L=L0�f(x0, x1, X)+L1�(1-f(x0, x1, X))    (Eq. 19)
The front face image 113 and face surface model 114 are same as in the first embodiment. The head image 115 is a digital image taken of a front face being in a size of 256�256 pixels, and is a color image in a width of 8 each of R, G, B per pixel. The face of the head image 115 is looking forward, and the center line of the face is nearly perpendicular. The face information model 116 is similar in composition to the face surface model 114. The hair information 117 is to give an attribute for specifying the assigning method when assigning the head image 115 to the front face image 113. The hair information 117 is in a same size as the head image 115, being in a two-dimensional array having a bit width of 8 bits per pixel, and its attribute is stored in each element of the hair information 117 (see FIG. 12). As shown in FIG. 12, one pixel of this array corresponds to one pixel of the head image 115. That is, supposing the array of the hair information 117 to be A(x, y), A(x0, y0) is the attribute of the pixel of point (x0, y0) of image 115. The attributes used in this embodiment and their meanings are shown in Table 1.
x'=x�Sh, y'=y�Sv                         (Eq. 22)
L&lt;&#952;l                                                 (Eq. 25)
In this embodiment, both front face image 113 and head image 115 are digital images in a size of 256�256, but the size may be also different.
The input front face image 13 is a color digital image in the width of 8 bits each of R, G, B per pixel, in a size of 256�256 pixels, being taken into the face image take-in device as shown in FIG. 2, same as in the first embodiment and others. The face looks forward, and the center line of the head is nearly perpendicular. The face surface model 14 is also same as in the first embodiment and others. The head image 193 is a digital image taken of a face looking forward, being a color image in the width of 8 bits each of R, G, B in a pixel, in a size of 256�256 pixels. The face in the head image 193 also looks forward, and the center line of the head is nearly perpendicular. The face information model 194 is same in composition as the face surface model 14.
In this embodiment, both front face image 13 and head image 193 are digital images in a size of 256�256, but the size may be also different.
x'=x�Sh, y'=y�Sh                         (Eq. 43)
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INTEREST;ASSIGNORS:MUNETSUGU, TOSHIHIKO;NAKAGAWA, MASAMICHI;KADO, YOSHIYASU;AND OTHERS;REEL/FRAME:007971/0772Effective date: 19960209Oct 16, 2001CCCertificate of correctionMar 23, 2004FPAYFee paymentYear of fee payment: 4Apr 18, 2008FPAYFee paymentYear of fee payment: 8Mar 20, 2012FPAYFee paymentYear of fee payment: 12RotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services