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» Application of Level Set Methods in Computer Vision
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CVPR
2007
IEEE
16 years 8 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro
TROB
2002
212views more  TROB 2002»
15 years 6 months ago
Path planning for robust image-based control
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
Youcef Mezouar, François Chaumette
ECCV
2008
Springer
16 years 8 months ago
What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images?
Many computer vision algorithms require searching a set of images for similar patches, which is a very expensive operation. In this work, we compare and evaluate a number of neares...
Neeraj Kumar, Li Zhang, Shree K. Nayar
JGTOOLS
2008
189views more  JGTOOLS 2008»
15 years 6 months ago
Subtractive Shadows: A Flexible Framework for Shadow Level of Detail
Abstract. We explore the implications of reversing the process of shadow computation for real-time applications that model complex reflectance and lighting (such as that specified ...
Christopher DeCoro, Szymon Rusinkiewicz
TOG
2010
106views more  TOG 2010»
15 years 1 months ago
Accelerating spatially varying Gaussian filters
High-dimensional Gaussian filters, most notably the bilateral filter, are important tools for many computer graphics and vision tasks. In recent years, a number of techniques for ...
Jongmin Baek, David E. Jacobs