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AProgressiveSchemeforStereoMatching
- Semi Dense Matching using Cross correlation, matching propagation publication
FastStereoMatchingUsingRectangularSubregioningand3
- 本文提出了一种快速,可靠的立体匹配算法产生浓密视差图,通过使用快速互相关、矩形秩和3D最大表面技术粗到细计划。-This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maximum-surfac
3d-matching
- 提出了一种用于物体外形非接触式提取的综合立体匹配方法。该方法综合了基于面积的立体匹配过程和基于特征的立体匹配过程。能充分利用它们各自的优点。 既能产生致密视差图。又能获得不连续处的准确匹配。 解决了物体外形非接触式提取中的关键性的问题实验结果以及实际应用都收到了很好的效果。-Proposed for object shape extraction of non-contact integrated stereo matching method. This method is an integra
improvedimagedensestereomatchingalgorithm
- 针对目前主流方法对图象中纹理单一区域匹配效果不佳胡问题,提出一种改进的立体象对稠密匹配算法-Mainstream view of the current image in the textured area on the effects of poor matching Hu is proposed as an improved stereo matching algorithm on the dense
daisy_presentation
- 大牛 E Tola的daisy特征描述子 比sift稠密 是稠密匹配经典之作 速度很快-Daniel E Tola s daisy feature descr iptor dense is dense than sift matching classic fast