Human visual system based facial recognition for autonomous systems and applications.

Wan, Qianwen.

Abstract: This thesis presents a real-time facial recognition system utilizing our human visual system algorithms coupled with classical Logical Binary Pattern (LBP) feature descriptors. Specifically, we first use the Weber's Law based human visual system to obtain decomposed images. Then, features are extracted using logarithmic Logical Binary Patterns (LBP). The contributions of this work includ... read more

Tufts University. Department of Electrical and Computer Engineering.
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ID: tufts:21553
To Cite: DCA Citation Guide