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1.
公开(公告)号:US20180268207A1
公开(公告)日:2018-09-20
申请号:US15985173
申请日:2018-05-21
Applicant: Korea Institute of Science and Technology
Inventor: Ig Jae KIM , Heeseung CHOI , Sungyeon PARK , Junghyun CHO
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.
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公开(公告)号:US20170116705A1
公开(公告)日:2017-04-27
申请号:US15069095
申请日:2016-03-14
Applicant: Korea Institute of Science and Technology
Inventor: Ig Jae KIM , Heeseung CHOI , Sungyeon PARK , Junghyun CHO
CPC classification number: G06T3/0093 , G06K9/00281 , G06K9/00302 , G06T11/00 , G06T15/00 , H04N7/147 , H04N7/157
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.
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