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SWF-SIFT approach for infrared face recognition

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3 Author(s)
Tan, Chunlin ; School of Aerospace, Harbin Institute of Technology, Harbin 150001, China ; Wang, Hongqiao ; Deli, Pel

The scale invariant feature transform (SIFT) feature descriptor is invariant to image scale and location, and is robust to affine transformations and changes in illumination, so it is a powerful descriptor used in many applications, such as object recognition, video tracking, and gesture recognition. However, in noisy and non-rigid object recognition applications, especially for infrared human face recognition, SIFT-based algorithms may mismatch many feature points. This paper presents a star-styled window filter-SIFT (SWF-SIFT) scheme to improve the infrared human face recognition performance by filtering out incorrect matches. Performance comparisons between the SIFT and SWF-SIFT algorithms show the advantages of the SWF-SI FT algorithm through tests using a typical infrared human face database.

Published in:

Tsinghua Science and Technology  (Volume:15 ,  Issue: 3 )