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

이적식 (경기대학교 전자기계공학부 전자공학전공)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.4A, 2002 , pp. 371-382 More about this Journal
Abstract
A camera model with optical axes parallel has been widely used for stereo vision applications. A pair of input ages are obtained from a convergent-looking stereo camera model based on the human visual system in this per, 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 : 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 ages 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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