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 :
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