DocumentCode
2263717
Title
Face inpainting by feature guidance
Author
Tang, Nick C. ; Zhuang, Yueting ; Wang, Yushun ; Shih, Timothy K. ; Tsai, Joseph C.
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui, Taiwan
fYear
2009
fDate
24-27 May 2009
Firstpage
2613
Lastpage
2616
Abstract
Face image partially occluded or damaged can be repaired automatically. We proposed a new inpainting algorithm, based on patch guidance deduced from an existing face database, to recover the damaged portions. This newly proposed concept of guided inpainting method produces seamless faces which are hardly seen drawbacks. Examples of our results can be retrieved from http://member.mine.tku.edu.tw/www/ISCAS09/.
Keywords
face recognition; feature extraction; image restoration; damaged image; face database; face inpainting; feature guidance; image occlusion; image restoration; Artificial intelligence; Computer science; Educational institutions; Face; Humans; Image databases; Image reconstruction; Mouth; Nose; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
Conference_Location
Taipei
Print_ISBN
978-1-4244-3827-3
Electronic_ISBN
978-1-4244-3828-0
Type
conf
DOI
10.1109/ISCAS.2009.5118337
Filename
5118337
Link To Document