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» Object recognition and Random Image Structure Evolution
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TIP
2002
84views more  TIP 2002»
13 years 7 months ago
Disocclusion: a variational approach using level lines
Object recognition, robot vision, image and film restoration may require the ability to perform disocclusion. We call disocclusion the recovery of occluded areas in a digital image...
Simon Masnou
RAS
2008
156views more  RAS 2008»
13 years 6 months ago
Curious George: An attentive semantic robot
State-of-the-art methods have recently achieved impressive performance for recognising the objects present in large databases of pre-collected images. There has been much less foc...
David Meger, Per-Erik Forssén, Kevin Lai, S...
ECCV
2008
Springer
14 years 9 months ago
Determining Patch Saliency Using Low-Level Context
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
CPHYSICS
2006
204views more  CPHYSICS 2006»
13 years 7 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
ICCV
2005
IEEE
14 years 1 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...