Title of article
SWF-SIFT Approach for Infrared Face Recognition
Author/Authors
TAN, Chunlin Harbin Institute of Technology - School of Aerospace, China , WANG, Hongqiao Xi an Research Institute of High Technology, China , WANG, Hongqiao Tsinghua University - Department of Computer Science and Technology, China , PEI, Deli Tsinghua University - Department of Computer Science and Technology, China
From page
357
To page
362
Abstract
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 usedin 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-SIFT algorithm through tests using a typical infrared human face database.
Keywords
infrared image , human face recognition , scale invariant feature transform (SIFT) , star , styled window filter (SWF)
Journal title
Tsinghua Science and Technology
Journal title
Tsinghua Science and Technology
Record number
2535277
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