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| Scene Reconstruction, Pose Estimation and Tracking |
ISBN 978-3-902613-06-6 |
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About the Book This volume, in the I-Tech Vision Systems series of books, reports recent advances in the use of pattern recognition techniques for computer and robot vision. The sciences of pattern recognition and computational vision have been inextricably intertwined since their early days, some four decades ago with the emergence of fast digital computing. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term. Conversely, if one looks through the contents of a typical international pattern recognition conference proceedings, it appears that the large majority (perhaps 70-80%) of all pattern recognition papers are concerned with the analysis of images. In particular, these sciences 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. |
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Table of Contents
01Real-Time Object Segmentation of the Disparity Map Using Projection-Based Region Merging
02A Novel Omnidirectional Stereo Vision System via a Single Camera
03Stereo Vision Camera Pose Estimation for On-Board Applications
04Correcting Radial Distortion of Cameras with Wide Angle Lens Using Point Correspondences
05Soft Computing Applications in Robotic Vision Systems
06Analysis of Video-Based 3D Tracking Accuracy by Using Electromagnetic Tracker as a Reference
08Collaborative MR Workspace with Shared 3D Vision Based on Stereo Video Transmission
10A Tutorial on Parametric Image Registration
11A Pseudo Stereo Vision Method Using Asynchronous Multiple Cameras
12Real-Time 3-D Environment Capture Systems
13Projective rectification with minimal geometric distortion
15Continuous machine learning in computer vision–tracking with adaptive class models
16A Sensors System for Indoor Localisation of A Moving Target Based on Infrared Pattern Recognition
17Pseudo Stereovision System (PSVS): A Monocular Mirror-based Stereovision System
18Tracking of Facial Regions Using Active Shape Models and Adaptive Skin Color Modeling
19Bimanual hand tracking based on AR-KLT
20An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques
21Global Techniques for Edge based Stereo Matching
22Local Feature Selection and Global Energy Optimization in Stereo
23A Learning Approach for Adaptive Image Segmentation
24A Novel Omnidirectional Stereo Vision System with a Single Camera
25Image Processing Techniques for Unsupervised Pattern Classification
26Articulated Hand Tracking by ICA-based Hand Model and Multiple Cameras
27Biologically Motivated Vergence Control System Based on Stereo Saliency Map Model
