-
Chapter and Conference Paper
Robust Head Pose Estimation Using Textured Polygonal Model with Local Correlation Measure
In this paper, a robust head pose estimation algorithm is presented. In contrast with other approaches, the proposed algorithm adopts textured polygonal model generated from two orthogonal views for accurate h...
-
Chapter and Conference Paper
Facial Expression Analysis under Various Head Poses
In this paper, a facial expression analysis method that can allow users to feel free to rotate their heads is proposed; we track facial feature points in synthetic frontal face images called stabilized view, a...
-
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...
-
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...
-
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 ...
-
Chapter and Conference Paper
On Peer Selection and Protection for Reliable Peer-to-Peer Video Streaming
P2P live video streaming is an emerging technique for video-on-demand services. In a P2P network, the bandwidth, memory, and computation ability of peers are redistributed to provide large-scale services. The ...