16 December 2013 Efficient interscanline consistency enforcing method for dynamic programming-based dense stereo matching algorithms
Behzad Salehian, Abolghasem A. Raie, Ali M. Fotouhi, Meisam Norouzi
Author Affiliations +
Abstract
The dynamic programming-based dense stereo matching algorithms are faster than other global ones, but they usually suffer from the tangible horizontal “streaks” in their generated disparity maps. This problem takes place due to the independent processing of scanlines, ignoring vertical consistency between them. In this paper the path remembering method, which uses the information of the best paths of previous rows, is employed with new developments to establish more depth similarity between rows, especially along the slanted edges of objects in the scene. Also, a new way for estimating matching costs in the left border of the image is presented based on the information of the right-hand neighboring pixels. Mentioned improvements were applied to a well known and standard dynamic programming-based algorithm called “DP.” Evaluation of the new proposed algorithm on standard stereo images shows considerable improvements in the depth estimation along the slanted edges and in the left border of the final results. As a more precise report, the average error rate reduces from 14.2% to 10.4%.
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
Behzad Salehian, Abolghasem A. Raie, Ali M. Fotouhi, and Meisam Norouzi "Efficient interscanline consistency enforcing method for dynamic programming-based dense stereo matching algorithms," Journal of Electronic Imaging 22(4), 043028 (16 December 2013). https://doi.org/10.1117/1.JEI.22.4.043028
Published: 16 December 2013
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Computer programming

Venus

Digital filtering

Databases

Detection and tracking algorithms

Electrical engineering

Error analysis

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