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» Randomness and Geometric Features in Computer Vision
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CGF
2002
162views more  CGF 2002»
13 years 9 months ago
Geometric Snakes for Triangular Meshes
Feature detection is important in various mesh processing techniques, such as mesh editing, mesh morphing, mesh compression, and mesh signal processing. In spite of much research ...
Yunjin Lee, Seungyong Lee
ICCV
2009
IEEE
15 years 2 months ago
Subspace matching: Unique solutions to point matching with geometric constraints
Finding correspondences between feature points is one of the most relevant problems in the whole set of visual tasks. In this paper we address the problem of matching a feature ...
Manuel Marques, Marko Stosic and Joao Costeira
CVPR
2006
IEEE
14 years 11 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade
ECCV
2010
Springer
14 years 3 months ago
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model
Abstract. Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF) model. When visual data scale up (in terms of the dimensionality of features or/an...
ECCV
2008
Springer
14 years 11 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele