PATENT CLAIM ANALYSIS

Application Number: 15904273
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["382", "103000"]

Abstract:
A method for deriving an image sensor's 3D pose estimate from a 2D scene image input includes at least one Machine Learning algorithm trained a priori to generate a 3D depth map estimate from the 2D image input, which is used in conjunction with physical attributes of the source imaging device to make an accurate estimate of the imaging device 3D location and orientation relative to the 3D content of the imaged scene. The system may optionally employ additional Machine Learning algorithms to recognize objects within the scene to further infer contextual information about the scene, such as the image sensor pose estimate relative to the floor plane or the gravity vector. The resultant refined imaging device localization data can be applied to static (picture) or dynamic (video), 2D or 3D images, and is useful in many applications, most specifically for the purposes of improving the realism and accuracy of primarily static, but also dynamic Augmented Reality (AR) applications.

Claim (Index 1):
A method of estimating the pose estimate of a source imaging device based on at least one two-dimensional (2D) image input, comprising:\n an input data set further comprising an 2D image data set to be analyzed a source camera parameter information such that the angular field of view of the imaging device can be determined, a first step comprising Machine Learning algorithm module capable of receiving said 2D image from the input data set and generating estimated depth values at least a portion of the image pixels relative to the source imaging device as output, a second step, executed in parallel with the first step and comprising an Imaging Device angular field of view determination process, capable of receiving the input data set and generating the source imaging sensor angular field of view as output, a third step receiving the outputs from steps one and two and generating the source imaging sensor three-dimensional (3D) pose estimate relative to all points in the image scene points as output in conjunction with the image depth values of the first step,

Metadata:
- Claim Count in Document: 27.0
- Percentile: 88.0
- Lexical Diversity: 1.69903
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15692401', '15227612', '15495665', '13774145', '15699221']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2772863390436695
- 35 USC 102 Novelty (BERT): 0.4995965490558547
- Combined Prediction Score: 0.299517360044888
- Mean Citation Score: 213.476748
- Max Citation Score: 227.22328
- Similarity Product: 161.48745763482094

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test