Title :
Image matching based on SIFT features and kd-tree
Author :
Li, Minjie ; Wang, Liqiang ; Hao, Ying
Author_Institution :
Dept. of Comput. Educ., Beijing Univ. of Civil Eng. & Archit., Beijing, China
Abstract :
This paper uses the specific SIFT (Scale Invariant Feature Transform) feature and a fast kd-tree matching strategy combined with invariant feature to solve single face recognition problems. It transforms face image data into scale-invariant coordinates relative to local features. The similarity was computed using Euclidean distance and kd-tree search. Experiments show that the features are invariant to image scaling, translation, rotation, and change in viewpoint.
Keywords :
face recognition; feature extraction; image matching; Euclidean distance; KD-tree; SIFT features; face recognition problems; image matching; scale invariant feature transform; Civil engineering; Computer architecture; Computer science education; Convolution; Euclidean distance; Face detection; Face recognition; Image matching; Image recognition; Layout; image matching; kd-tree matching; scale invariant feature transform;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485624
