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Image dense matching based on Delauney triangulation

机译:基于Delaunay三角剖分的图像密集匹配

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Abstract: A new image matching method is proposed based on delauney triangulation of this paper. The first step of this method is making the delauney triangle segmentations of the 2 reference images; second, covering each paired triangle with the parallel lines or the polar lines; thirdly, matching the image points using the epipolar geometry constraint. The method gets rid of the classic time-consuming dense matching technique, effectively resolves the problem of match missing caused by the line lengthening and shortening, and greatly improves the speed and accuracy of matching.!9
机译:摘要:提出了一种新的基于delauney三角剖分的图像匹配方法。该方法的第一步是对2个参考图像进行delauney三角分割。其次,用平行线或极线覆盖每个成对的三角形;第三,利用对极几何约束匹配图像点。该方法摆脱了经典的费时的密集匹配技术,有效地解决了因行长和缩短而导致的匹配丢失的问题,大大提高了匹配的速度和准确性。!9

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