PATENT CLAIM ANALYSIS

Application Number: 15985173
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["345", "646000"]

Abstract:
A method for automatic facial impression transformation includes extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points, comparing the distance vectors to select a learning data set similar to the target face from a database, extracting landmark points and distance vectors from the learning data set, transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression, and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression. Accordingly, a facial impression may be transformed in various ways while keeping an identity of a corresponding person.

Claim (Index 2):
The method of  claim 1 , wherein the learning data set used is the same for the transforming of the local feature of the target face and the transforming of the global feature of the target face.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 2.44828
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15069095', '14863772', '14131374', '12079276', '14561757']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6806173971388202
- 35 USC 102 Novelty (BERT): 0.5675229555786864
- Combined Prediction Score: 0.6693079529828069
- Mean Citation Score: 282.859016
- Max Citation Score: 491.3998
- Similarity Product: 346.3222694513202

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