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» Application of Level Set Methods in Computer Vision
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279
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ICCV
2007
IEEE
16 years 8 months ago
Image Classification using Random Forests and Ferns
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
Andrew Zisserman, Anna Bosch, Xavier Muñoz
199
Voted
ICCV
2007
IEEE
16 years 8 months ago
Chaotic Invariants for Human Action Recognition
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
Saad Ali, Arslan Basharat, Mubarak Shah
180
Voted
ICCV
2005
IEEE
16 years 8 months ago
Learning Object Categories from Google's Image Search
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
Robert Fergus, Fei-Fei Li 0002, Pietro Perona, And...
184
Voted
ICCV
2001
IEEE
16 years 8 months ago
Plan-View Trajectory Estimation with Dense Stereo Background Models
In a known environment, objects may be tracked in multiple views using a set of background models. Stereo-based models can be illumination-invariant, but often have undefined valu...
Trevor Darrell, David Demirdjian, Neal Checka, Ped...
171
Voted
ECCV
2008
Springer
16 years 8 months ago
Calibration from Statistical Properties of the Visual World
What does a blind entity need in order to determine the geometry of the set of photocells that it carries through a changing lightfield? In this paper, we show that very crude know...
Etienne Grossmann, José António Gasp...