Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
- 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 present a system for the interactive navigation through high-resolution cylindrical panoramas. The system is based on MPEG-4 and describes the virtual world by the scene descri...
A novel technique for multi-scale smoothing of a free-form 3-D surface is presented. Complete triangulated models of 3-D objects are constructed (through fusion of range images) a...
There are many nearest neighbor algorithms tailormade for ICP, but most of them require special input data like range images or triangle meshes. We focus on efficient nearest nei...