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CVPR
2009
IEEE
16 years 11 months ago
Large Displacement Optical Flow
The literature currently provides two ways to establish point correspondences between images with moving objects. On one side, there are energy minimization methods that yield v...
Thomas Brox (University of California, Berkeley), ...
CVPR
2009
IEEE
16 years 11 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
ICCV
2009
IEEE
1022views Computer Vision» more  ICCV 2009»
16 years 9 months ago
Kernelized Locality-Sensitive Hashing for Scalable Image Search
Fast retrieval methods are critical for large-scale and data-driven vision applications. Recent work has explored ways to embed high-dimensional features or complex distance fun...
Brian Kulis, Kristen Grauman
CVPR
2001
IEEE
16 years 6 months ago
Geometric Distributions for Catadioptric Sensor Design
We present a general method of catadioptric sensor design for realizing prescribed projections. Our method makes use of geometric distributions in 3-dimensional space, which are g...
R. Andrew Hicks, Ronald K. Perline
CVPR
2005
IEEE
16 years 6 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...