针对鱼眼图像高畸变的特点，提出了一种适合于鱼眼图像的准稠密匹配扩散算法。
In this paper, a novel quasi-dense matching algorithm through local neighborhood transfer is proposed for fish-eye images, characterized by severe projective distortions.
在分析相关视图扫描线特征的基础上，提出了一种基于扫描线分段图像稠密匹配方法。
This paper proposes an image dense match method using scanline segmentation based on the analysis of pixel intensity on scanline.
实验结果表明，所给的方法对边缘检测非常有效，具有良好的鲁棒性。为图像的稠密匹配奠定了坚实的基础。
The experimental results show that the method is efficient in edge detection, and it is very robust to noises.
虽然稠密匹配算法在众多的匹配算法中表现出一定的优越性，但仍然存在一些问题，还不能满足匹配点数量与精度的要求。
Although dense matching algorithm performs very well among several matching algorithms, there are still some problems on quantity and precision of matching points.
本论文研究了如何由非定标图像序列恢复三维实体模型，对其中的若干关键技术进行了深入研究，特别是立体像对的稠密匹配。
Our research is focused on the problems of the recovery of a realistic textured model from image sequences and some critical issues related to this subject, such as dense matching to stereo images.
为了得到准确、稠密的视差图，提出了一种利用自适应能量聚集和动态规划的立体匹配算法。
In order to get precise and dense disparity maps, a stereo matching algorithm using adaptive cost aggregation and dynamic programming is proposed.
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。
An approach to addressing the stereo correspondence problem is presented using genetic algorithms (GAs) to obtain a dense disparity map.
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.
立体匹配是计算机视觉领域的一个重要研究课题，为了得到准确、稠密的视差图，提出了一种基于颜色与空间距离的置信度传播立体匹配算法。
In order to get dense and correct disparity, a stereo matching algorithm based on color and space distance and using belief propagation was proposed.
立体匹配是计算机视觉领域的一个重要研究课题，为了得到准确、稠密的视差图，提出了一种基于颜色与空间距离的置信度传播立体匹配算法。
In order to get dense and correct disparity, a stereo matching algorithm based on color and space distance and using belief propagation was proposed.
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