Contributions to Stereo Vision
Christian Unger · 2013
In this work we present camera-based methods for dense scene reconstruction. In the context of binocular stereo vision, we introduce a novel algorithm for the efficient computation of dense disparity maps and an accurate stereo method that is based on simulated random walks. Further, we present a novel method for the robust and efficient reconstruction from multiple views using a probabilistic formulation.