— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and...
- The challenges in modeling 3-D objects using facets and surface patches are investigated, and enhancement over the Gouraud's and Phong's interpolative shading is presen...
We show that traditional waveform-coding and 3-D modelbased coding are not competing alternatives but should be combined to support and complement each other. Both approaches are ...