Neural disparity map estimation from stereo image
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 9, Issue 3 (31 May. 2012), pp.217-224, 8 p.
Publisher
Publication Date
2012-05-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, we propose a new approach of dense disparity map computing based on the neural network from pair of stereo images.
Our approach divides the disparity map computing into two main steps.
The first one deals with computing the initial disparity map using a neuronal method Back-Propagation (BP).
The BP network, using differential features as input training data can learn the functional relationship between differential features and the matching degree.
Whereas, the second one presents a very simple and fast method to refine the initial disparity map by using image segmentation so an accurate result can be acquired.
Experimental results on real data sets were conducted for evaluating the neural model proposed.
American Psychological Association (APA)
Baha, Nadiyah& Larabi, Sulayman. 2012. Neural disparity map estimation from stereo image. The International Arab Journal of Information Technology،Vol. 9, no. 3, pp.217-224.
https://search.emarefa.net/detail/BIM-305236
Modern Language Association (MLA)
Baha, Nadiyah& Larabi, Sulayman. Neural disparity map estimation from stereo image. The International Arab Journal of Information Technology Vol. 9, no. 3 (May. 2012), pp.217-224.
https://search.emarefa.net/detail/BIM-305236
American Medical Association (AMA)
Baha, Nadiyah& Larabi, Sulayman. Neural disparity map estimation from stereo image. The International Arab Journal of Information Technology. 2012. Vol. 9, no. 3, pp.217-224.
https://search.emarefa.net/detail/BIM-305236
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 323-324
Record ID
BIM-305236