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» Variational Bayesian image modelling
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CVBIA
2005
Springer
15 years 8 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 6 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
107
Voted
ECCV
2010
Springer
15 years 7 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 8 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...
117
Voted
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 7 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