DocumentCode
1798379
Title
Alignment of face images based on SIFT feature
Author
Zhi-Hui Li ; Ying Hou ; Hai-Bo Liu
Author_Institution
Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
Volume
2
fYear
2014
fDate
13-16 July 2014
Firstpage
597
Lastpage
600
Abstract
In this paper, a method for the alignment of face images is proposed. We first extract SIFT features from the set of images, match features between each two images. Then we cluster the image according to the number of matching keypoints,in each category. We use the congealing algorithm to train and generate the model. The experiments show that the features are invariant to image scaling and rotation, and partially invariant to the change of illumination. This method has good performance in accuracy and in real-time.
Keywords
face recognition; feature extraction; image matching; transforms; SIFT feature extraction; congealing algorithm; face image-based alignment; illumination change invariance; image clustering; image feature keypoint matching; image rotation invariance; image scaling invariance; Abstracts; Bayes methods; Computational modeling; Face; Congealing; Matching keypoints; SIFT features;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2160-133X
Print_ISBN
978-1-4799-4216-9
Type
conf
DOI
10.1109/ICMLC.2014.7009675
Filename
7009675
Link To Document