Determination of Cost Function in Disparity Space Image 


Vol. 32,  No. 5, pp. 530-535, May  2007


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  Abstract

Disparity space image (DSI) technique is a method of establishing correspondence between a pair of images. It has a merit of generating a dense disparity map for each pixel. DSI has a cost function to be minimized, and it needs empirical weighting factors for occlusion penalty and match reward. This paper provides theoretical basis for the weighting factors, which depend on image noise and contrast between an object and background.

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  Cite this article

[IEEE Style]

J. Park and B. Lee, "Determination of Cost Function in Disparity Space Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 5, pp. 530-535, 2007. DOI: .

[ACM Style]

Jun-hee Park and Byung-uk Lee. 2007. Determination of Cost Function in Disparity Space Image. The Journal of Korean Institute of Communications and Information Sciences, 32, 5, (2007), 530-535. DOI: .

[KICS Style]

Jun-hee Park and Byung-uk Lee, "Determination of Cost Function in Disparity Space Image," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 5, pp. 530-535, 5. 2007.