Depth Extraction of Convergent-Looking Stereo Images Based on the Human Visual System 


Vol. 27,  No. 4, pp. 371-382, Apr.  2002


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  Abstract

A camera model with optical axes parallel has been widely used for stereo vision applications. A pair of input images are obtained from a convergent-looking stereo camera model based on the human visual system in this paper, and each image is divided into quadrant regions with respect to the fixation point. The reasoning of quadrant partitions is based on the human visual system and is proven by a geometrical method. Image patches are constructed from the right and left stereo images. A modified cepstrum filter is applied to the patches and disparity vectors are determined by peak detection algorithm. The three-dimensional information for synthetic images is obtained from the measured disparity and the convergent stereo camera model. It is shown that the experimental results of the proposed method for various stereo images are accurate around the fixation point like the human visual system.

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  Cite this article

[IEEE Style]

J. S. Lee, "Depth Extraction of Convergent-Looking Stereo Images Based on the Human Visual System," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 4, pp. 371-382, 2002. DOI: .

[ACM Style]

Juck Sik Lee. 2002. Depth Extraction of Convergent-Looking Stereo Images Based on the Human Visual System. The Journal of Korean Institute of Communications and Information Sciences, 27, 4, (2002), 371-382. DOI: .

[KICS Style]

Juck Sik Lee, "Depth Extraction of Convergent-Looking Stereo Images Based on the Human Visual System," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 4, pp. 371-382, 4. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880