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Scene Reconstruction Pose Estimation and Tracking
Edited by Rustam Stolkin, ISBN 978-3-902613-06-6, Hard cover, 530 pages, Publisher: I-Tech Education and Publishing, Published: June 01, 2007 under CC BY-NC-SA 3.0 license, in subject Artificial Intelligence
DOI: 10.5772/41
This book 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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Book contents
- Chapter 1Real-Time Object Segmentation of the Disparity Map Using Projection-Based Region Merging
- Chapter 2A Sensors System for Indoor Localisation of a Moving Target Based on Infrared Pattern Recognition
- Chapter 3Pseudo Stereovision System (PSVS): A Monocular Mirror-based Stereovision System
- Chapter 4Tracking of Facial Regions Using Active Shape Models and Adaptive Skin Color Modeling
- Chapter 5Bimanual Hand Tracking based on AR-KLT
- Chapter 6An Introduction to Model-Based Pose Estimation and 3-D Tracking Techniques
- Chapter 7Global Techniques for Edge based Stereo Matching
- Chapter 8Local Feature Selection and Global Energy Optimization in Stereo
- Chapter 9A Learning Approach for Adaptive Image Segmentation
- Chapter 10A Novel Omnidirectional Stereo Vision System with a Single Camera
- Chapter 11Image Processing Techniques for Unsupervised Pattern Classification
- Chapter 12Articulated Hand Tracking by ICA-based Hand Model and Multiple Cameras
- Chapter 13Continuous Machine Learning in Computer Vision - Tracking with Adaptive Class Models
- Chapter 14Non-rigid Stereo-motion
- Chapter 15Projective Rectification with Minimal Geometric Distortion
- Chapter 16A Novel Omnidirectional Stereo Vision System via a Single Camera
- Chapter 17Stereo Vision Camera Pose Estimation for On-Board Applications
- Chapter 18Correcting Radial Distortion of Cameras with Wide Angle Lens Using Point Correspondences
- Chapter 19Soft Computing Applications in Robotic Vision Systems
- Chapter 20Analysis of Video-Based 3D Tracking Accuracy by Using Electromagnetic Tracker as a Reference
- Chapter 21Photorealistic 3D Model Reconstruction based on the Consistency of Object Surface Reflectance Measured by the Voxel Mask
- Chapter 22Collaborative MR Workspace with Shared 3D Vision Based on Stereo Video Transmission
- Chapter 23Multiple Omnidirectional Vision System and Multilayered Fuzzy Behavior Control for Autonomous Mobile Robot
- Chapter 24A Tutorial on Parametric Image Registration
- Chapter 25A Pseudo Stereo Vision Method using Asynchronous Multiple Cameras
- Chapter 26Real-Time 3-D Environment Capture Systems
- Chapter 27Biologically Motivated Vergence Control System Based on Stereo Saliency Map Model
