成像和视频技术进展 Advances in image and video technology

作者简介

This book constitutes the refereed proceedings of the First Pacific Rim Symposium on Image and Video Technology, PSIVT 2006, held in Hsinchu, Taiwan in December 2006.    The 76 revised full papers and 58 revised poster papers presented were carefully reviewed and selected from a total of 450 submissions. The papers cover a wide range of topics, including all aspects of video and multimedia, both technical and articistic perspectives and both theorectical and practical issues. The papers are organized in topical sections on 3D scene modeling, image analysis, intelligent vision applications, multimedia compression and transmission, multimedia signal processing, panoramic imaging and distributed video systems, sensor technologies, and visualization.

书籍目录

3D Scene Modeling  Error Analysis of Feature Based Disparity Estimation  Collinearity and Coplanarity Constraints for Structure from Motion  Reconstruction of Building Models with Curvilinear Boundaries from Laser Scanner and Aerial Imagery  The Generation of 3D Tree Models by the Integration of Multi-sensor Data  LOD Generation for 3D Polyhedral Building Model  Octree Subdivision Using Coplanar Criterion for Hierarchical Point Simplification  Dimension Reduction in 3D Gesture Recognition Using Meshless Parameterization  Target Calibration and Tracking Using Conformal Geometric Algebra  Robust Pose Estimation with 3D Textured Models  Multi-scale 3D-ModelingImage Analysis  Boundary Based Orientation of Polygonal Shapes  LPP and LPP Mixtures for Graph Spectral Clustering  The Invariance Properties of Chromatic Characteristics  A Scale Invariant Surface Curvature Estimator  N-Point ttough Transform Derived by Geometric Duality  Guided Importance Sampling Based Particle Filtering for Visual Tracking  Intelligent Spot Detection for 2-DE Gel Image  Gaze Estimation from Low Resolution Images  Image Similarity Comparison Using Dual-Tree Wavelet Transform  A Novel Supervised Dimensionality Reduction Algorithm for Online Image Recognition  Feature Selection Based on Run Covering  Automated Detection of the Left Ventricle from 4D MR Images:Validation Using Large Clinical Datasets  Two Thresholding for Deriving the Bi-level Document Image  A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation  ……Author Index

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