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» Geodesic Methods in Computer Vision and Graphics
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BILDMED
2008
151views Algorithms» more  BILDMED 2008»
15 years 3 months ago
Creating a Vision Channel for Observing Deep-Seated Anatomy in Medical Augmented Reality
The intent of medical Augmented Reality (AR) is to augment the surgeon's real view on the patient with the patient's interior anatomy resulting from a suitable visualizat...
Felix Wimmer, Christoph Bichlmeier, Sandro Michael...
74
Voted
ICPR
2000
IEEE
15 years 6 months ago
Vectorization in Graphics Recognition: To Thin or Not to Thin
Vectorization, i.e. raster–to–vector conversion, is a central part of graphics recognition problems. In this paper, we discuss the pros and the cons of basing one’s vectoriz...
Karl Tombre, Salvatore Tabbone
CVPR
2007
IEEE
16 years 4 months ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz
CVPR
2004
IEEE
15 years 6 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
149
Voted
ECCV
2008
Springer
16 years 4 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...