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CVPR
2012
IEEE
11 years 10 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
TVCG
2008
148views more  TVCG 2008»
13 years 7 months ago
Globally Optimal Surface Mapping for Surfaces with Arbitrary Topology
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental problem in graphics and such a method provides us a ubiquitous tool for geometric mo...
Xin Li, Yunfan Bao, Xiaohu Guo, Miao Jin, Xianfeng...
ISVC
2010
Springer
13 years 6 months ago
An Improved Shape Matching Algorithm for Deformable Objects Using a Global Image Feature
Abstract. We propose an improved shape matching algorithm that extends the work of Felzenszwalb [3]. In this approach, we use triangular meshes to represent deformable objects and ...
Jibum Kim, Suzanne M. Shontz
SIAMIS
2010
171views more  SIAMIS 2010»
13 years 2 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
AAAI
1998
13 years 9 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore