PATENT CLAIM ANALYSIS

Application Number: 15936468
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["348", "048000"]

Abstract:
A depth map generation device capable of correcting occlusion includes at least two image capture pairs and a depth map generator. The at least two image capture pairs is used for capturing a plurality of images. The depth map generator is coupled to the two image capture pairs for generating a first depth map and a second depth map according to the plurality of images, wherein when the first depth map includes a first occlusion region and a first non-occlusion region, the depth map generator corrects the first occlusion region according to the second depth map.

Claim (Index 7):
The depth map generation device of  claim 2 , wherein a visual field of a second image capturer of the first image capture pair corresponding to an object is occluded by a first object to make depth information of the first depth map corresponding to the object comprises the first occlusion region and the first non-occlusion region, and the depth information of the first depth map corresponding to the first occlusion region is an invalid area; and a visual field of a third image capturer of the second image capture pair corresponding to the object is not occluded by the first object, and the depth map generator corrects the first occlusion region according to depth information of the second depth map corresponding to the object.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.525
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15937797', '15936451', '14445076', '13208977', '15139352']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6537591002694876
- 35 USC 102 Novelty (BERT): 0.5274217466674923
- Combined Prediction Score: 0.6411253649092881
- Mean Citation Score: 246.95423
- Max Citation Score: 348.3634
- Similarity Product: 263.69812638492584

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test