PATENT CLAIM ANALYSIS

Application Number: 15913246
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["382", "103000"]

Abstract:
Various aspects of an image-processing apparatus and method for object boundary stabilization in an image of a sequence of image frames are disclosed. The image-processing apparatus includes an image processor that receives a depth image of a scene from a first-type of sensor and a color image of the scene from the second-type of sensor. The scene may comprise at least an object-of-interest. A first object mask of the object-of-interest is generated by a depth thresholding operation on the received depth image. Dangling-pixels artifact present on a first object boundary of the first object mask, are removed. The first object boundary is smoothened using a moving-template filter on the color image. A second object mask having a second object boundary is generated based on the smoothening of the first object boundary. The object-of-interest from the color image is extracted based on the generated second object mask.

Claim (Index 25):
The method according to  claim 24 , further comprising identifying, by said at least one image processor, a boundary pixel as a candidate pixel for said smoothening of said first object boundary based on said computed difference in said color value and said brightness value between said first set of pixels and said second set of pixels.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.5
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15361723', '13055727', '13808388', '15259175', '13129864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.337119857548678
- 35 USC 102 Novelty (BERT): 0.4882543372036479
- Combined Prediction Score: 0.3522333055141751
- Mean Citation Score: 198.104004
- Max Citation Score: 211.32817000000003
- Similarity Product: 154.77280913617614

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