Absrtact: an algorithm of dense disparity map extraction is presented based on triangulation mesh.
摘要：提出一种基于三角形网格的浓密视差图提取算法。
The fast dense disparity map extract method based on mean normalized cross-correlation technique has been research.
研究了基于归一化协方差区域相关技术快速获取浓密视差图的方法。
An approach to addressing the stereo correspondence problem is presented using genetic algorithms (GAs) to obtain a dense disparity map.
提出了一种利用遗传算法解决立体匹配问题的方法以获得稠密的视差图。
Because dense disparity map is required by vision-based navigation, the research in this paper is focused on obtaining dense disparity map rapidly.
因为视觉导航中要求获得致密的视差图，因此本文的研究集中在致密视差图的快速获得。
Finally, the disparity of both matched and occluded points are obtained through finding the optimal path using dynamic programming, and the dense disparity map is obtained.
最后通过动态规划寻找最优路径来获得匹配点和遮挡点的视差，从而得到稠密视差图。
Finally, the disparity of both matched and occluded points are obtained through finding the optimal path using dynamic programming, and the dense disparity map is obtained.
最后通过动态规划寻找最优路径来获得匹配点和遮挡点的视差，从而得到稠密视差图。
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