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Very recently tracking was approached using classification techniques such
as support vector machines. The object to be tracked is discriminated by a
classifier from the background. In a similar spirit we propose a novel on-line
AdaBoost featur
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a general implementation of local binary patterns for matlab.
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The ear, as a biometric, has been given less
attention, compared to other biometrics such as fingerprint,
face and iris. Since it is a relatively new biometric, no
commercial applications involving ear recognition are
available. Intensive
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FACE RECOGNITION USING LOCAL BINARY PATTERNS
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HEp-2 cell classification using rotation invariant co-occurrence among
local binary patterns
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efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found
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回顾与实现高维局部二进制模式及人脸识别应用-Review and Implementation of
High-Dimensional Local Binary
Patterns and Its Application to
Face Recognition
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watermarking method using local binary patterns (LBP). Local binary patterns are ... Keywords– LBP local binary pattern digital image water- marking-watermarking method using local binary patterns (LBP). Local binary patterns are ... Keywords– LBP l
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