PATENT CLAIM ANALYSIS

Application Number: 16111922
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["345", "619000"]

Abstract:
A facial model editing method and apparatus are provided. The method includes detecting a location of a cursor in a facial model displayed on a screen. The facial model containing a plurality of facial positions. The method also includes determining a to-be-operated facial position from the plurality of facial positions according to the location of the cursor; and detecting a selection operation on the to-be-operated facial position. Further, the method includes editing the to-be-operated facial position in response to an obtained editing operation on the to-be-operated facial position; and displaying the edited to-be-operated facial position in the facial model.

Claim (Index 3):
The method according to  claim 2 , wherein the obtaining a color value of a pixel on the location comprises:\n obtaining the color value of the pixel corresponding to the location and in a mask map, wherein the mask map is laminated over the facial model, the mask map comprises a plurality of mask areas in a one-to-one correspondence with the plurality of facial positions, and each mask area corresponds to one facial position, wherein the color value of the pixel comprises one of a red color value of the pixel, a green color value of the pixel, and a blue color value of the pixel.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 96.0
- Lexical Diversity: 2.54762
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13940270', '14008370', '14200000', '13350106', '15008209']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6364338509797725
- 35 USC 102 Novelty (BERT): 0.4895210221327212
- Combined Prediction Score: 0.6217425680950674
- Mean Citation Score: 163.813384
- Max Citation Score: 170.96817
- Similarity Product: 115.87355346410392

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

Dataset: test