"Scene Reconstruction, Pose Estimation and Tracking" ed. by Rustam Stolkin
InTeOpP | 2007 | ISBN: 3902613066 9783902613066 | 541 pages | PDF | 14 MB
The sciences of pattern recognition and computational vision overlap in areas of low level vision such as segmentation, edge detection and other kinds of feature extraction and region identification, which are the focus of this book. This book reports advances in the use of pattern recognition techniques for computer and robot vision.
Contents Preface
1 Real-Time Object Segmentation of the Disparity Map Using Projection-Based Region Merging
2 A Novel Omnidirectional Stereo Vision System via a Single Camera
3 Stereo Vision Camera Pose Estimation for On-Board Applications
4 Correcting Radial Distortion of Cameras with Wide Angle Lens Using Point Correspondences
5 Soft Computing Applications in Robotic Vision Systems
6 Analysis of Video-Based 3D Tracking Accuracy by Using Electromagnetic Tracker as a Reference
7 Photorealistic 3D Model Reconstruction based on the Consistency of Object Surface Reflectance Measured by the Voxel Mask
8 Collaborative MR Workspace with Shared 3D Vision Based on Stereo Video Transmission
9 Multiple Omnidirectional Vision System and Multilayered Fuzzy Behavior Control for Autonomous Mobile Robot
10 ATutorial on Parametric Image Registration
11 A Pseudo Stereo Vision Method using Asynchronous Multiple Cameras
12 Real-Time 3-D Environment Capture Systems
13 Projective Rectification with Minimal Geometric Distortion
14 Non-rigid Stereo-motion
15 Continuous Machine Learning in Computer Vision - Tracking with Adaptive Class Models
16 A Sensors System for Indoor Localisation of a Moving Target Based on Infrared Pattern Recognition
17 Pseudo Stereovision System (PSVS): A Monocular Mirror-based Stereovision System
18 Tracking of Facial Regions Using Active Shape Models and Adaptive Skin Color Modeling
19 Bimanual Hand Tracking based on AR-KLT
20 An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques
21 Global Techniques for Edge based Stereo Matching
22 Local Feature Selection and Global Energy Optimization in Stereo
23 A Learning Approach for Adaptive Image Segmentation
24 A Novel Omnidirectional Stereo Vision System with a Single Camera
25 Image Processing Techniques for Unsupervised Pattern Classification
26 Articulated Hand Tracking by ICA-based Hand Model and Multiple Cameras
27 Biologically Motivated Vergence Control System Based on Stereo Saliency Map Model
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