PATENT CLAIM ANALYSIS

Application Number: 15769575
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["345", "426000"]

Abstract:
There is provided an image processing apparatus and an image processing method that can follow a fast movement of a virtual point to change a high-precision image. A position correction unit corrects a three-dimensional position of a point of a boundary of an occlusion area among a plurality of points, the three-dimensional position being included in three-dimensional data including three-dimensional positions and color information of the plurality of points, the three-dimensional data being generated from color image data and depth image data from a predetermined viewpoint. The present disclosure can be applied to, for example, an image processing apparatus or the like that generates color image data from a virtual viewpoint on the basis of color image data and depth image data from a predetermined viewpoint.

Claim (Index 1):
An image processing apparatus comprising:\n a position correction unit that corrects a three-dimensional position of a point of a boundary of an occlusion area among a plurality of points, the three-dimensional position being included in three-dimensional data including three-dimensional positions and color information of the plurality of points, the three-dimensional data being generated from color image data and depth image data from a predetermined viewpoint.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 91.0
- Lexical Diversity: 2.18033
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12016749', '12986453', '13169662', '13763336', '13017302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6455018818896999
- 35 USC 102 Novelty (BERT): 0.4757751872093855
- Combined Prediction Score: 0.6285292124216685
- Mean Citation Score: 195.719226
- Max Citation Score: 197.28204
- Similarity Product: 152.42893409783363

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