We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Stereo matching algorithms conventionally match over a range of disparities sufficient to encompass all visible 3D scene points. Human vision however does not do this. It works ov...
Stereo matching commonly requires rectified images that
are computed from calibrated cameras. Since all under-
lying parametric camera models are only approximations,
calibratio...
Many vision applications require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most real-time stereo applications rely on local winner-takes-a...
Minglun Gong, Ruigang Yang, Liang Wang 0002, Mingw...
In this paper, we propose a new method that infers accurate depth maps and color-consistent images between radiometrically varying stereo images, simultaneously. In general, stereo...
Yong Seok Heo (Seoul National University), Kyoung ...