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CVPR
2008
IEEE
16 years 1 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
MM
2006
ACM
119views Multimedia» more  MM 2006»
15 years 5 months ago
Model generation for video-based object recognition
This paper presents a novel approach to object recognition involving a sparse 2D model and matching using video. The model is generated on the basis of geometry and image measurab...
Humera Noor, Shahid H. Mirza, Yaser Sheikh, Amit J...
NIPS
2007
15 years 1 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey
DAGM
2006
Springer
15 years 3 months ago
Segmentation-Based Motion with Occlusions Using Graph-Cut Optimization
Abstract. We propose to tackle the optical flow problem by a combination of two recent advances in the computation of dense correspondences, namely the incorporation of image segme...
Michael Bleyer, Christoph Rhemann, Margrit Gelautz
APGV
2006
ACM
15 years 5 months ago
Stevens dot patterns for 2D flow visualization
This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local con...
Laura Tateosian, Brent M. Dennis, Christopher G. H...