首页> 外国专利> A DISPARITY CACULATION METHOD BASED ON OPTIMIZED CENSUS TRANSFORM STEREO MATCHING WITH ADAPTIVE SUPPORT WEIGHT METHOD AND SYSTEM THEREOF

A DISPARITY CACULATION METHOD BASED ON OPTIMIZED CENSUS TRANSFORM STEREO MATCHING WITH ADAPTIVE SUPPORT WEIGHT METHOD AND SYSTEM THEREOF

机译:基于自适应支持权重优化人口普查立体匹配的视差计算方法及系统

摘要

The present invention relates to a method for improving the matching accuracy in a stereo matching based on the census transform by using an adaptive area weight value technique and a window having a loose shape. The method comprises: a first step which sets an adaptive area weight value window centered on a specific point of the left image, and an adaptive area weight value window, having an identical size with the same of the left image, centered on a point which is located within the maximum disparity prediction value and corresponds to the specific point of the left image in the right image; a second step which calculates an adaptive area weight value with respect to pixels in each weight value window of the left and the right images; a third step which sets a matching window with respect to pixels within the adaptive area weight value windows set in the left and the right images; a fourth step which calculates a raw matching cost with respect to pixels within the adaptive area weight value window by using the matching window; a fifth step which calculates the matching cost by using the calculated adaptive area weight value of pixels and the raw matching cost; and a sixth step which calculates a matching cost for other points located within the maximum disparity prediction value and corresponding to the specific point of the left image in the right image, and calculates a disparity value by means of comparison with the calculated matching cost.
机译:本发明涉及一种通过使用自适应面积权重值技术和具有松散形状的窗口来基于普查变换来提高立体匹配中的匹配精度的方法。该方法包括:第一步,设置以左图像的特定点为中心的自适应区域权重值窗口,以及以与左图像的相同点具有相同大小的自适应区域权重值窗口为中心。位于最大视差预测值内,并且对应于右图像中左图像的特定点;第二步,计算左右图像各权重窗口中像素的自适应区域权重值;第三步骤,针对在左右图像中设置的自适应区域权重值窗口内的像素设置匹配窗口;第四步骤,通过使用所述匹配窗口,计算针对所述自适应区域权重值窗口内的像素的原始匹配成本;第五步骤,利用计算出的像素自适应区域权重值和原始匹配成本,计算匹配成本;第六步骤,计算位于最大视差预测值内且对应于右图像中左图像的特定点的其他点的匹配成本,并与计算出的匹配成本进行比较,计算出视差值。

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