Fast Dense Disparity Estimation of Stereo Couples from Image Gradient
Fast Dense Disparity Estimation of Stereo Couples from Image Gradient
复制标题
从图像梯度快速估计立体对的密集视差
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
C. Beumier
中科院分区：
文献类型：
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作者：
C. Beumier
提出了一种基于图像梯度相似性的立体对视差估计方法。左图像的每个像素与具有相同梯度和相似强度的右图像像素相关联，直接导致等于对极图像的特定情况下的水平位移的视差集合。视差值被限制在本申请通常已知的先验可接受范围内。分配给左图像像素的最终视差值从与左像素附近的像素相关联的候选视差值的直方图峰值获得。产生密集视差图。该系统的设计和开发遵循了一个非常快速的处理目标，在2.33GHz的Intel Core 2 Duo CPU上每秒处理0.75Mpixel的视差值。它已成功地应用于突出建筑物在几种类型的卫星和航空图像。
This paper presents an original development of disparity estimation of stereo couples primarily ba sed on the similarity of image gradient between both images. Each pixel of the left image is associated to right image pixels with same gradient and similar intensity, directly leading to a set of disparities qual to the horizontal displacement in the specific case of epipolar images. Disparity values are restricted to an a priori acceptable range generally known by the application. The final disparity value assigned to a left image pixel is obtained from the histogram peak of candidate disparity values associated to pixels in the vicinity of the left pixel. A dense disparity map i s produced. The conception and development have followed a very fast processing objective, resultin g about 0.75 Mpixel of disparity values per second on a 2.33 GHz Intel Core 2 Duo CPU. It has been successfully applied to highlight buildings in seve ral types of satellite and aerial images.