Imaging Components, Systems, and Processing

Joint motion model for local stereo video-matching method

[+] Author Affiliations
Jinglin Zhang

Nanjing University of Information Science and Technology, School of Atmospheric Science, No. 219 Ningliu Road, Nanjing 210044, China

Université Européenne de Bretagne, INSA, UMR 6164, IETR, 20 Avenue des Buttes de Coësmes CS 70839, Rennes 35708, France

Cong Bai

Zhejiang University of Technology, College of Computer Science, 18 Chaowang Road, Hangzhou 310014, China

Jean-Francois Nezan, Jean-Gabriel Cousin

Université Européenne de Bretagne, INSA, UMR 6164, IETR, 20 Avenue des Buttes de Coësmes CS 70839, Rennes 35708, France

Opt. Eng. 54(12), 123108 (Dec 21, 2015). doi:10.1117/1.OE.54.12.123108
History: Received May 12, 2015; Accepted October 29, 2015
Text Size: A A A

Abstract.  As one branch of stereo matching, video stereo matching becomes more and more significant in computer vision applications. The conventional stereo matching methods for static images would cause flicker-frames and worse matching results. We propose a joint motion-based square step (JMSS) method for stereo video matching. The motion vector is introduced as one component in the support region building for the raw cost aggregation. Then we aggregate the raw cost along two directions in the support region. Finally, the winner-take-all strategy determines the best disparity under our hypothesis. Experimental results show that the JMSS method not only outperforms other state-of-the-art stereo matching methods on test sequences with abundant movements, but also performs well in some real-world scenes with fixed and moving stereo cameras, respectively, in particular under some extreme conditions of real stereo visions. Additionally, the proposed JMSS method can be implemented in real time, which is superior to other state-of-the-art methods. The time efficiency is also a very important consideration in our algorithm design.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Video ; Motion models

Citation

Jinglin Zhang ; Cong Bai ; Jean-Francois Nezan and Jean-Gabriel Cousin
"Joint motion model for local stereo video-matching method", Opt. Eng. 54(12), 123108 (Dec 21, 2015). ; http://dx.doi.org/10.1117/1.OE.54.12.123108


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.