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 13):
A device for automatic facial impression transformation, comprising:\n a facial feature extracting unit configured to extract landmark points for elements of a target face whose facial impression is to be transformed, included in a frame of a moving picture, as well as distance vectors respectively representing distances of the landmark points; and a facial impression transforming unit configured to acquire, from a database, a learning data set associated with a facial shape most similar to the target face based on the distance vectors, extract landmark points and distance vectors from the learning data set, and transform the facial impression of the target face based on the extracted landmark points and distance vectors of the learning data set, wherein the facial impression transforming unit comprises: a local feature transforming unit configured to determine a first distance vector of the target face used for transforming a local feature of the target face, based on distance vectors between landmark points determining sizes and shapes of face elements of the learning data set; and a global feature transforming unit configured to determine a second distance vector of the target face used for transforming a global feature of the target face, based on distance vectors between landmark points determining arrangement of face elements of the learning data set, and the facial impression of the target face is transformed based on at least one of the first distance vector and the second distance vector.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 2.44828
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15069095', '14863772', '14131374', '12079276', '14561757']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6467928308234747
- 35 USC 102 Novelty (BERT): 0.5838667903863013
- Combined Prediction Score: 0.6405002267797574
- Mean Citation Score: 282.859016
- Max Citation Score: 491.3998
- Similarity Product: 447.0408848914147

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