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» Modelling perception using image processing algorithms
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ICCV
2007
IEEE
16 years 8 months ago
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
Acquiring 3D models of intricate objects (like tree branches, bicycles and insects) is a hard problem due to severe self-occlusions, repeated thin structures and surface discontin...
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon ...
ICCV
2011
IEEE
14 years 6 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade
TITS
2011
247views more  TITS 2011»
15 years 1 months ago
Road Detection Based on Illuminant Invariance
—By using an onboard camera, it is possible to detect the free road surface ahead of the ego-vehicle. Road detection is of high relevance for autonomous driving, road departure w...
José M. Álvarez, Antonio M. Lopez
CVPR
2000
IEEE
16 years 8 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
ICASSP
2010
IEEE
15 years 6 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
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