Stereo matching commonly requires rectified images that
are computed from calibrated cameras. Since all under-
lying parametric camera models are only approximations,
calibratio...
We present a novel variational method for the simultaneous estimation of dense scene flow and structure from stereo sequences. In contrast to existing approaches that rely on a ful...
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform.
It is highl...
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
In order to obtain depth perception in computer vision, one needs to process pairs of stereo images. This process is computationally challenging to be carried out in real-time as i...