Semi-global matching (SGM) is a technique of choice for dense stereo estimation in current
industrial driver-assistance systems due to its real-time processing capability and its …

Semi-global matching is a popular choice for applications where dense and robust stereo
estimation is required and real-time performance is crucial. It therefore plays an important …

Dense and robust optical flow estimation is still a major challenge in low-level computer
vision. In recent years, mainly variational methods contributed to the progress in this field …

The paper considers semi-global stereo matching in the context of vision-based driver
assistance systems. The need for real-time performance in this field requires a design …

In this study we examine three road-modeling methods, which we evaluate on seven stereo
matching algorithms. The road-modeling methods we consider are a B-spline modeling …

针对光照不均导致传统区域增长算法匹配区域小, 误差大等问题, 提出一种基于改进census
变换的双重约束匹配算法. 用变换窗口灰度均值与局部纹理反差值之和代替中心像素灰度 …

The stereo matching algorithms usually do not satisfy the performance of both accuracy and
complexity. The semi-global matching (SGM) is the most efficient method among the stereo …

Stereo matching under dramatic illumination changes is a big challenge in imbalanced
binocular vision, self-driving cars, and the remote sensing image field. A novel, to the best of …

Vision-based applications usually have as input a continuous stream of data. Therefore, it is
possible to use the information generated in previous frames to improve the analysis of the …

Stereo correspondence has achieved continuous advances in the past decades. However,
radiometric variations, situations of slanted surfaces and texture-less regions are still …