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» Variational Bayesian image modelling
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CVBIA
2005
Springer
15 years 5 months ago
Local or Global Minima: Flexible Dual-Front Active Contours
Most variational active contour models are designed to find the “desirable” local minima of data-dependent energy functionals with the hope of avoiding undesirable configurat...
Hua Li, Anthony J. Yezzi
APGV
2010
ACM
266views Visualization» more  APGV 2010»
15 years 3 months ago
Horizon estimation: perceptual and computational experiments
The human visual system is able to quickly and robustly infer a wealth of scene information – the scene "gist" – already after 100 milliseconds of image presentation...
Christian Herdtweck, Christian Wallraven
ECCV
2010
Springer
15 years 4 months ago
Analyzing Depth from Coded Aperture Sets
Computational depth estimation is a central task in computer vision and graphics. A large variety of strategies have been introduced in the past relying on viewpoint variations, de...
HRI
2006
ACM
15 years 5 months ago
FOCUS: a generalized method for object discovery for robots that observe and interact with humans
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
Manuela M. Veloso, Paul E. Rybski, Felix von Hunde...
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 4 months ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin