The Quality of Disparity Maps

• Amit Patel
• M.B.Chaudhari

Stereo matching algorithm, Sum of squared difference, Disparity map, RMSE, k-means segmentation

Disparity calculation based on stereo vision is an important issue in computer vision research as it has applications in several areas of image processing in general. In this dissertation, a stereo matching based on segmentation is presented. Quality of disparity map is an important and challenging problem in stereo matching. Hence, We proposed a disparity estimation method considering hybrid approach to generate improved disparity map, based on k-means and refine disparity map of image by SSD (sum of squared difference) cost function. Lastly, we applied quality measurement matrix RMSE (root mean square error) to measures the quality of disparity map.

Published

 Vol. 3 Issue. 2 Pages. 1013-1016

Amit Patel, M.B.Chaudhari. "The Quality of Disparity Maps".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.1013-1016, URL :https://rjwave.org/ijedr/papers/IJEDR1502174.pdf

Volume 3 Issue 2 

Pages. 1013-1016

Published Paper PDF : https://rjwave.org/ijedr/papers/IJEDR1502174.pdf

Published Paper URL : https://openrgate.org/viewfulldetails.php?id=1681

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition