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Computer and Information Science » Computer Science and Engineering
Current Advancements in Stereo Vision
Edited by Asim Bhatti, ISBN 978-953-51-0660-9, Hard cover, 224 pages, Publisher: InTech, Chapters published July 11, 2012 under CC BY 3.0 license
DOI: 10.5772/2611
The book is a new edition of stereo vision book series of INTECH Open Access Publisher and it presents diverse range of ideas and applications highlighting current research/technology trends and advances in the field of stereo vision. The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution and applications in wide range of disciplines. Particularly interesting approaches include neuromorphic engineering, probabilistic analysis and anisotropic reaction diffusion addressing the problem of stereo correspondence and the applications in mobile robotics for autonomous terrain mapping and navigation. SterCentre for Intelligent Systems Research (CISR), Institute of Technology, Research and Innovation (ITRI),eo algorithm with anisotropic reaction-diffusion systems utilizing biologically motivated reaction-diffusion systems with anisotropic diffusion coefficients makes it an interesting addition to the book.
- Chapter 1
Stereo Matching: From the Basis to Neuromorphic Engineering - Chapter 2
Stereo Vision and Scene Segmentation - Chapter 3
Probabilistic Analysis of Projected Features in Binocular Stereo - Chapter 4
Stereo Algorithm with Anisotropic Reaction-Diffusion Systems - Chapter 5
Depth Estimation - An Introduction - Chapter 6
An Overview of Three-Dimensional Videos: 3D Content Creation, 3D Representation and Visualization - Chapter 7
Generation of 3D Sparse Feature Models Using Multiple Stereo Views - Chapter 8
Objects Detection and Tracking Using Points Cloud Reconstructed from Linear Stereo Vision - Chapter 9
3D Probabilistic Occupancy Grid to Robotic Mapping with Stereo Vision - Chapter 10
Wavefront/Systolic Algorithms for Implementation of Stereo Vision and Obstacle Avoidance Computations on a Very Low Power MIMD Many-Core Parallel Architecture: Applications for Mobile Systems and Wearable Visual Guidance"
