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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

By
Chen Ming
Chen Ming
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ISBN:
9780791859902
No. of Pages:
1400
Publisher:
ASME Press
Publication date:
2011

Aiming at the problems that traditional stereo matching algorithm has its drawbacks of low matching accuracy and poor real time in low texture regions and occluded portions, this paper presents a new fast stereo matching algorithm. First, the image is divided into different segments of a single color, calculating the initial disparity. Then the plane parameters of each segment are computed only using reliable pixels, and in accordance with the characteristics of unreliable points, construct a new segment matching cost for group neighboring segments. Finally the scope of the initial disparity is used as a constraint term of the global energy function, the energy function is globally minimized using graph cuts. The experimental results show that the algorithm has a better performance in low texture regions and occluded portions, and has high accuracy and real time.

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