Kernel - (range data) or reconstructed using shape from...

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Kernel-Based Methods _ Kernel PCA, kernel FLD, and SVM overcome the limitations of the linear approaches by nonlinearly mapping the input space into a high-dimensional feature space. _ T. Cover: Non-linearly separable patterns in an input space are linearly separable with high probability if the input space is transformed nonlinearly to a high-dimensional feature space. _ 3D methods provide potential solutions to pose invariant recognition. 3D models are often derived from laser-scanned 3D heads
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Unformatted text preview: (range data) or reconstructed using shape from shading. _ Hsu and Jain [Hsu01] described the method of modeling 3D faces based on a triangular mesh model and individual facial measurements. A potential solution to face recognition with variations in illumination, pose, and facial expressions. _ Method by Zhao and Chellappa [Zhao01] applies a 3D model to synthesize a prototype image from a given image acquired under different lighting and viewing conditions....
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This document was uploaded on 11/03/2011 for the course BIOLOGY BSC1105 at Broward College.

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Kernel - (range data) or reconstructed using shape from...

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