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» Application of Level Set Methods in Computer Vision
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RIVF
2008
15 years 7 months ago
Simple but effective methods for combining kernels in computational biology
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...
CVPR
2009
IEEE
16 years 10 months ago
Real-Time Learning of Accurate Patch Rectification
Recent work [5, 6] showed that learning-based patch rectification methods are both faster and more reliable than affine region methods. Unfortunately, their performance improveme...
Stefan Hinterstoisser, Oliver Kutter, Nassir Navab...
ICCV
2001
IEEE
16 years 8 months ago
A General Imaging Model and a Method for Finding its Parameters
Linear perspective projection has served as the dominant imaging model in computer vision. Recent developments in image sensing make the perspective model highly restrictive. This...
Michael D. Grossberg, Shree K. Nayar
ICCS
2004
Springer
15 years 11 months ago
Evaluating the Performance of Skeleton-Based High Level Parallel Programs
We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...
EMMCVPR
2003
Springer
15 years 11 months ago
Path Variation and Image Segmentation
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
Pablo Andrés Arbeláez, Laurent D. Co...