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 11):
A depth map generation device capable of correcting occlusion, comprising:\n an image capture module comprising at least two image capture pairs, and each image capture pair of the at least two image capture pairs is composed of two image capturers, or an image capturer and a light source; and a depth map generator coupled to the image capture module, wherein when a first depth map of at least two depth maps generated by the depth map generator corresponding to the at least two image capture pairs comprises an occlusion region and a non-occlusion region, the depth map generator utilizes a second depth map of the at least two depth maps to correct the occlusion region.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.525
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15937797', '15936451', '14445076', '13208977', '15139352']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6261528064627965
- 35 USC 102 Novelty (BERT): 0.5239872234457562
- Combined Prediction Score: 0.6159362481610925
- Mean Citation Score: 246.95423
- Max Citation Score: 348.3634
- Similarity Product: 285.51504560424087

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