
Extracting Depth Information from Stereo Vision System
Using a Correlation and a Feature Based Methods
LAP Lambert Academic Publishing
Published on 26. September 2012
Book
Paperback/Softback
108 pages
978-3-659-25125-2 (ISBN)
Description
Stereo vision systems are constructed to mimic the way human see objects in the 3D space while getting a sense of their depth. 3D imaging is playing bigger role in creating the interface between machines and their surroundings and users. Current work presents a modified algorithm to extract depth information from stereo vision acquisitions using a correlation and a feature based approaches. The main implementation of the proposed method is in the area of autonomous Pick and Place, using a robotic manipulator.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 8 mm
Weight
179 gr
ISBN-13
978-3-659-25125-2 (9783659251252)
Schweitzer Classification
Persons
Mahmoud M. Abdelhamid is a PhD Candidate at Clemson University International Center for Automotive Research CU-ICAR. Mahmoud obtained a MS degree from mechanical engineering at Clemson University. Dr. Mohammad A. Omar is an associate professor at CU-ICAR. Dr. Omar holds 4 US patents and published over 100 publications including 4 books.