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» Learning Visual Invariance
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CVPR
2012
IEEE
12 years 8 days ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
CVPR
2008
IEEE
14 years 4 months ago
Evaluation of color descriptors for object and scene recognition
Image category recognition is important to access visual information on the level of objects and scene types. So far, intensity-based descriptors have been widely used. To increas...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
APGV
2004
ACM
138views Visualization» more  APGV 2004»
14 years 3 months ago
Perceptual invariance of nonlinear Focus+Context transformations
Focus+Context techniques are commonly used in visualization systems to provide both the details and the context. The "shaker paradigm", in which an image is rapidly alte...
Keith Lau, Ronald A. Rensink, Tamara Munzner
CVIU
2006
110views more  CVIU 2006»
13 years 10 months ago
Viewpoint invariant exemplar-based 3D human tracking
This paper proposes a clustered exemplar-based model for performing viewpoint invariant tracking of the 3D motion of a human subject from a single camera. Each exemplar is associa...
Eng-Jon Ong, Antonio S. Micilotta, Richard Bowden,...
MVA
2010
181views Computer Vision» more  MVA 2010»
13 years 8 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...