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» Image Categorization Using Local Probabilistic Descriptors
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CVPR
2008
IEEE
14 years 11 months ago
Scale invariance without scale selection
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
Iasonas Kokkinos, Alan L. Yuille
CVIU
2004
96views more  CVIU 2004»
13 years 8 months ago
Image matching with scale adjustment
In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. The difference in resolution between ...
Yves Dufournaud, Cordelia Schmid, Radu Horaud
ICML
2000
IEEE
14 years 9 months ago
Constructive Feature Learning and the Development of Visual Expertise
We present a framework for learning features for visual discrimination. The learning system is exposed to a sequence of training images. Whenever it fails to recognize a visual co...
Justus H. Piater, Roderic A. Grupen
DICTA
2008
13 years 10 months ago
Object Detection Using Multi-local Feature Manifolds
Many object categories are better characterized by the shape of their contour than by local appearance properties like texture or color. Multi-local features are designed in order...
Oscar M. Danielsson, Stefan Carlsson, Josephine Su...
ICCV
2003
IEEE
14 years 11 months ago
Space-time Interest Points
Local image features or interest points provide compact ract representations of patterns in an image. In this paper, we propose to extend the notion of spatial interest points int...
Ivan Laptev, Tony Lindeberg