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Matching texture units for face recognition

8 years 8 months ago
Matching texture units for face recognition
For an image, texture unit (TU) is a small complete unit which characterizes the local texture of a given pixel and its neighborhood. Recently, TU-based approaches have been widely used in face recognition. This paper proposes a novel face representation and recognition approach based on TU. We make three major contributions: (1) we introduce a novel TU feature, Local Gabor Quarternary Pattern (LGQP), which incorporates both Gabor magnitude and phase information in a single TU code; (2) similarity measure of two TU images is treated as a tracking problem between two images, and we present a novel point-to-point matching (PPM) approach for TU similarity measure; (3) based on an integral histogram technique, the PPM similarity can be computed very rapidly. Experimental results on CMU-PIE and FERET data sets show that our method is able to reach very promising results.
Bangpeng Yao, Haizhou Ai, Shihong Lao
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIP
Authors Bangpeng Yao, Haizhou Ai, Shihong Lao
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