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CVPR
2009
IEEE
1976views Computer Vision» more  CVPR 2009»
17 years 1 months ago
Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n...
Jianchao Yang, Kai Yu, Yihong Gong, Thomas S. Huan...
CVPR
2009
IEEE
17 years 1 months ago
Pose Estimation with Radial Distortion and Unknown Focal Length
This paper presents a solution to the problem of pose estimation in the presence of heavy radial distortion and a potentially large number of outliers. The main contribution is ...
Klas Josephson, Martin Byröd
CVPR
2009
IEEE
17 years 1 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic
ICCV
2009
IEEE
16 years 11 months ago
Absolute Scale in Structure from Motion from a Single Vehicle Mounted Camera by Exploiting Nonholonomic Constraints
In structure-from-motion with a single camera it is well known that the scene can be only recovered up to a scale. In order to compute the absolute scale, one needs to know the ...
Davide Scaramuzza, Friedrich Fraundorfer, Marc Pol...
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
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