Geodesic pixel neighborhoods for 2D and 3D scene understanding

  title={Geodesic pixel neighborhoods for 2D and 3D scene understanding},
  author={Vladimir Haltakov and Christian Unger and Slobodan Ilic},
  journal={Computer Vision and Image Understanding},
Scene understanding is an important class of computer vision problems that is an enabler for a wide variety of applications such as advanced driver assistance systems, autonomous vehicles or mobile assistive robots. Semantic segmentation is one of the common ways to address this problem. Unlike the more standard approaches based on a probabilistic graphical model, in this paper we present a two stage classification framework based on the concept of pixel neighborhoods. In the first stage, every… CONTINUE READING


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