PATENT CLAIM ANALYSIS

Application Number: 16052491
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["348", "371000"]

Abstract:
The various embodiments described herein include methods and/or systems for depth mapping. In one aspect, a method of depth mapping is performed at an apparatus including a projector, a camera, one or more processors, and memory storing one or more programs for execution by the one or more processors. The method includes identifying one or more areas of interest in a scene in accordance with variation of depth in the scene as detected at a first resolution. The method also includes, for each area of interest: (1) applying, via the projector, a respective structured-light pattern to the area of interest; (2) capturing, via the camera, an image of the area of interest with the respective structured-light pattern applied to it; and (3) creating a respective depth map of the area of interest using the captured image, the respective depth map having a higher resolution than the first resolution.

Claim (Index 16):
The method of  claim 15 , wherein:\n the respective structured-light pattern for the particular area of interest comprises parallel lines of light; and varying the respective structured-light pattern comprises varying an angle at which the parallel lines of light intersect a detected edge within the particular area of interest.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.19231
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14703649', '15588468', '15643574', '14322741', '15442418']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6263058624509389
- 35 USC 102 Novelty (BERT): 0.5056740083766845
- Combined Prediction Score: 0.6142426770435134
- Mean Citation Score: 190.408646
- Max Citation Score: 308.1630600000001
- Similarity Product: 296.2565508938813

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