Paper Title:
Multi-Scale Edge Extraction Based Stereo Matching Algorithm
  Abstract

In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly.

  Info
Periodical
Edited by
Ran Chen
Pages
4162-4166
DOI
10.4028/www.scientific.net/AMM.44-47.4162
Citation
J. Lian, L. H. Li, X. Y. Shen, X. P. Hao, "Multi-Scale Edge Extraction Based Stereo Matching Algorithm", Applied Mechanics and Materials, Vols. 44-47, pp. 4162-4166, 2011
Online since
December 2010
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$32.00
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