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» Geodesic Methods in Computer Vision and Graphics
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BILDMED
2008
151views Algorithms» more  BILDMED 2008»
14 years 11 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...
ICPR
2000
IEEE
15 years 2 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
15 years 12 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 1 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...
ECCV
2008
Springer
15 years 11 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...