45 search results - page 3 / 9 » A Novel Approach to Geometric Fitting of Implicit Quadrics |
ICVGIP
2004
13 years 7 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
CVPR
2011
IEEE
12 years 10 months ago
2011
IEEE
We present a novel Quadratic Program (QP) formulation for robust multi-model fitting of geometric structures in vision data. Our objective function enforces both the fidelity of...
SP
2002
IEEE
13 years 5 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
TOG
2008
13 years 6 months ago
2008
We introduce a simplification algorithm for meshes composed of quadrilateral elements. It is reminiscent of edge-collapse based methods for triangle meshes, but takes a novel appr...
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. In Computer Vision applications, one usually has to work with uncertain data. It is therefore important to be able to deal with uncertain geometry and uncertain transform...