This paper presents a new cooperative algorithm based on the integration of stereo matching and segmentation. Stereo correspondence is recovered from two stereo images with the help of a segmentation result. Using a genetic algorithm (GA)-based image segmentation, we can refine the depth map more effectively. Experimental results are presented to illustrate the performances of the proposed method.
CITATION STYLE
Jung, K., & Han, J. H. (2000). Stereo correspondence using GA-based segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1983, pp. 497–502). Springer Verlag. https://doi.org/10.1007/3-540-44491-2_73
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