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ECCV
2004
Springer
16 years 8 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
BMVC
2010
15 years 4 months ago
Image-based walkthroughs from incremental and partial scene reconstructions
We present a scalable and incremental approach for creating interactive image-based walkthroughs from a dynamically growing collection of photographs of a scene. Prior approaches,...
Kumar Srijan, Syed Ahsan Ishtiaque, Sudipta Sinha,...
ICASSP
2011
IEEE
14 years 10 months ago
Sparse coding of auditory features for machine hearing in interference
A key problem in using the output of an auditory model as the input to a machine-learning system in a machine-hearing application is to find a good feature-extraction layer. For ...
Richard F. Lyon, Jay Ponte, Gal Chechik
166
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ICCV
2005
IEEE
16 years 8 months ago
Active Search for Real-Time Vision
In most cases when information is to be extracted from an image, there are priors available on the state of the world and therefore on the detailed measurements which will be obta...
Andrew J. Davison
PRL
2006
87views more  PRL 2006»
15 years 6 months ago
Applying 3D human model in a posture recognition system
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic articulated human m...
Bernard Boulay, François Brémond, Mo...