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ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
17 years 15 days ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICCV
2009
IEEE
1042views Computer Vision» more  ICCV 2009»
17 years 15 days ago
Activity Recognition using the velocity histories of tracked keypoints
We present an activity recognition feature inspired by human psychophysical performance. This feature is based on the velocity history of tracked keypoints. We present a generat...
Ross Messing, Chris Pal, Henry Kautz
ICCV
2009
IEEE
17 years 15 days ago
Factorizing Scene Albedo and Depth from a Single Foggy Image
Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Restoring the true scene colors (clear day image) from a single imag...
Louis Kratz, Ko Nishino
ICCV
2009
IEEE
17 years 15 days ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
ICCV
2009
IEEE
3167views Computer Vision» more  ICCV 2009»
17 years 15 days ago
Tracking a Hand Manipulating an Object
We present a method for tracking a hand while it is interacting with an object. This setting is arguably the one where hand-tracking has most practical relevance, but poses signi...
Henning Hamer, Konrad Schindler, Esther Koller-Mei...
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