Table of Contents
International Journal of Vehicular Technology
Volume 2011, Article ID 326865, 11 pages
Research Article

Stereo Image Matching for Vehicle-Borne Mobile Mapping System Based on Digital Parallax Model

Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, No. 1 WenYuan Road, Nanjing, Jiangsu 210046, China

Received 2 November 2010; Revised 18 January 2011; Accepted 12 April 2011

Academic Editor: Nandana Rajatheva

Copyright © 2011 Ka Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Considering automatic and effective stereo image matching for vehicle-borne mobile mapping system (VMMS), a new stereo image matching algorithm based on digital parallax model (DPM) is proposed in this paper. The new matching propagation strategy is designed in this algorithm, which includes two processes as DPM construction and parallax prediction. With some known matched points, the DPM of stereo image pairs is firstly constructed, and parameters for confirming conjugate epipolar line is also worked out. Then searching range during dense matching can be confirmed under constraints of DPM and epipolar line, which can improve matching speed and accuracy. Furthermore, to improve matching robustness, the computation model of similarity measurement combined with local structure feature and global color feature is designed. The new algorithm is applied to actual stereo images taken by VMMS to verify its validity. Experimental results show that the proposed approach has higher reliability and accuracy.