PATENT CLAIM ANALYSIS

Application Number: 15743948
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "106000"]

Abstract:
Techniques are described for generating a distance map (e.g., a map of disparity, depth or other distance values) for image elements (e.g., pixels) of an image capture device. The distance map is generated based on an initial distance map (obtained, e.g., using a block or code matching algorithm) and a segmentation map (obtained using a segmentation algorithm). In some instances, the resulting distance map can be less sparse than the initial distance map, can contain more accurate distance values, and can be sufficiently fast for real-time or near real-time applications. The resulting distance map can be converted, for example, to a color-coded distance map of a scene that is presented on a display device.

Claim (Index 7):
The method of  claim 1  including:\n projecting an infra-red pattern onto the scene; \n acquiring a first image of the scene using a first image sensor while the infra-red pattern is projected onto the scene, wherein the first image sensor is sensitive to infra-red radiation and to light in the visible part of the spectrum; \n applying the matching algorithm using the first image; \n acquiring a second image of the scene using the first image sensor while the infra-red pattern is not projected onto the scene; and \n applying the segmentation algorithm using the second image.

Metadata:
- Claim Count in Document: 19.0
- Percentile: 86.0
- Lexical Diversity: 2.09231
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15752682', '15749825', '13278184', '14089300', '14578404']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3606588303024494
- 35 USC 102 Novelty (BERT): 0.5053189571984511
- Combined Prediction Score: 0.3751248429920495
- Mean Citation Score: 228.049144
- Max Citation Score: 253.70798
- Similarity Product: 171.60311907484413

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