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» Learning Color Names from Real-World Images
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CGF
2004
151views more  CGF 2004»
13 years 7 months ago
A Physically-Based Model for Rendering Realistic Scratches
Individually visible scratches, also called isolated scratches, are very common in real world surfaces. Although their microgeometry is not visible, they are individually percepti...
Carles Bosch, Xavier Pueyo, Stéphane M&eacu...
CVPR
2007
IEEE
14 years 2 months ago
Moving Object Detection on a Runway Prior to Landing Using an Onboard Infrared Camera
Determining the status of a runway prior to landing is essential for any aircraft, whether manned or unmanned. In this paper, we present a method that can detect moving objects on...
Cheng-Hua Pai, Yuping Lin, Gérard G. Medion...
SMI
2006
IEEE
130views Image Analysis» more  SMI 2006»
14 years 1 months ago
Material-Aware Mesh Deformations
Most real world objects consist of non-uniform materials; as a result, during deformation the bending and shearing are distributed non-uniformly and depend on the local stiffness ...
Tiberiu Popa, Dan Julius, Alla Sheffer
PAMI
2010
181views more  PAMI 2010»
13 years 6 months ago
Using Language to Learn Structured Appearance Models for Image Annotation
Abstract— Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to simultaneously learn the names and appearances o...
Michael Jamieson, Afsaneh Fazly, Suzanne Stevenson...
ICIAP
2001
Springer
14 years 7 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...