吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 952-958.doi: 10.13229/j.cnki.jdxbgxb201703036

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Cell processor stereo matching parallel computation

XU Yan-yan1, 2, CHEN Hui1, LIU Jia-ju1, YUAN Jin-zhao1   

  1. 1.School of Information Science and Engineering, Shandong University, Ji'nan 250100,China;
    2.Department of Civil & Environmental Engineering, Massachusetts Institute of Technology, Cambridge 02139,USA
  • Received:2016-01-13 Online:2017-05-20 Published:2017-05-20

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Abstract: This paper presents an efficient parallel implementation of belief propagation and dynamic programming algorithms on an IBM CELL BE processor (Sony Playstation3) that speeds up stereo image matching. Overlapping windows and improved data cost with pyramid computation are adopted for implementation of belief propagation algorithms. Considering that real-world images are typically degraded by various types of noise, differing exposures and changes in light etc, Sobel edge and residual operator are used for image pre-processing to improve the stereo matching results. The proposed method has important application on hardware unification of automatic driving binocular computer vision together with multimedia visual technique.

Key words: computer application, artificial intelligence, CELL processor, disparity map, computer vision, parallel computation

CLC Number: 

  • TP391
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