TITLE:
Extracting Depth Information Using a Correlation Matching Algorithm
AUTHORS:
Mahmoud Abdelhamid, Jeffery Beers, Mohammed Omar
KEYWORDS:
Stereo-Vision; Depth; Passive Triangulation; Pick and Place
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.5 No.5,
May
29,
2012
ABSTRACT: This manuscript presents a modified algorithm to extract depth information from stereo-vision acquisitions using a correlation based approaches. The main implementation of the proposed method is in the area of autonomous Pick & Place, using a robotic manipulator. Current vision-guided robotics is still based on a priori training and teaching steps, and still suffers from long response time. This study uses a stereo triangulation setup where two Charged Coupled Devices CCDs are arranged to acquire the scene from two different perspectives. The study discusses the details to calculate the depth using a correlation matching routine which programmed using a Square Sum Difference SSD algorithm to search for the corresponding points from the left and the right images. The SSD is further modified using an adjustable Region Of Interest ROI along with a center of gravity based calculations. Furthermore, the two perspective images are rectified to reduce the required processing time. The reported error in depth using the modified SSD method is found to be around 1.2 mm.