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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009675
