Patent search ap:("Korea Institute of Science AND Technology") AND inv:"Hee Seung Choi" Page 1

1.

发明授权
Apparatus and method for recognizing image, and method for generating morphable face images from original image 有权

公开(公告)号：US09633044B2

公开(公告)日：2017-04-25

申请号：US14310036

申请日：2014-06-20

Applicant: Korea Institute of Science and Technology

Inventor： Ig Jae Kim , Hee Seung Choi , Jaewon Kim , Junghyun Cho , Young-ju Choi

IPC: G06K9/00 , G06F17/30 , G06K9/62

CPC classification number: G06F17/30247 , G06K9/00288 , G06K9/6255

Abstract: Provided is an image recognition apparatus that identifies a person through a face of the person recognized from a photographed image, an image recognition method thereof and a face image generation method thereof.The method for recognizing a face image includes generating candidate images including at least one morphable image which is generated using an object image, extracting first features from the generated candidate images, extracting second feature from a reference image, and generating at least one score corresponding to each of the at least one morphable image by comparing the first features with the second feature, and performing matching to calculate a final score from the generated at least one score.

2.

发明授权
Method for face recognition through facial expression normalization, recording medium and device for performing the method 有权

公开(公告)号：US09811716B2

公开(公告)日：2017-11-07

申请号：US14941812

申请日：2015-11-16

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Ig Jae Kim , Hee Seung Choi , Junghyun Cho

IPC: G06K9/00

CPC classification number: G06K9/00228 , G06K9/00208 , G06K9/00268 , G06K9/00302

Abstract: A method for face recognition through facial expression normalization includes: fitting an input two-dimensional face image into a three-dimensional face model by using a three-dimensional face database; normalizing the three-dimensional face model into a neutral-expression three-dimensional face model by using a neutral-expression parameter learned from the three-dimensional face database; converting the neutral-expression three-dimensional face model into a neutral-expression two-dimensional face image; and recognizing the neutral-expression two-dimensional face image from a two-dimensional face database. Accordingly, face recognition may be performed with high reliability without a loss of information.

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