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Chapter and Conference Paper
Expression-Invariant Face Recognition with Accurate Optical Flow
Face recognition is one of the most intensively studied topics in computer vision and pattern recognition, but few are focused on how to robustly recognize expressional faces with one single training sample pe...
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Chapter and Conference Paper
Improved Two-Level Model Averaging Techniques in Drosophila Brain Modeling
Two-level model averaging techniques have been proposed to construct the 3D reference template for the Drosophila brain. The surface-based reference template is suitable for integration of experimental data fr...
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Chapter and Conference Paper
Integrated Expression-Invariant Face Recognition with Constrained Optical Flow
Face recognition is one of the most intensively studied topics in computer vision and pattern recognition. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence ...