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Summary: MATCHING TEXTURE UNITS FOR FACE RECOGNITION
Bangpeng YAO, Haizhou AI
Computer Science and Technology Department,
Tsinghua University, Beijing 100084, China
Shihong LAO
Sensing and Control Technology Laboratory,
Omron Corporation, Kyoto 619-0283, Japan
ABSTRACT
For an image, texture unit (TU) is a small complete unit which
characterizes the local texture of a given pixel and its neigh-
borhood. 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 in-
corporates 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
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