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» Invariances in kernel methods: From samples to objects
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152
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CVPR
2009
IEEE
16 years 10 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
143
Voted
ISMAR
2009
IEEE
15 years 10 months ago
Dynamic seethroughs: Synthesizing hidden views of moving objects
This paper presents a method to create an illusion of seeing moving objects through occluding surfaces in a video. This illusion is achieved by transferring information from a cam...
Peter Barnum, Yaser Sheikh, Ankur Datta, Takeo Kan...
163
Voted
IMAGING
2003
15 years 4 months ago
Group Theoretical Invariants in Color Image Processing
Many image formation processes are complex interactions of several sub-processes and the analysis of the resulting images requires often to separate the influence of these sub-pr...
Reiner Lenz, Linh Viet Tran, Thanh Hai Bui
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 10 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
CVPR
2006
IEEE
16 years 5 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele