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» Shape Modeling from Multiple View Images Using GAs
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BMVC
2010
14 years 9 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ECCV
2008
Springer
16 years 1 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...
TEC
2002
81views more  TEC 2002»
14 years 11 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
IJCV
1998
101views more  IJCV 1998»
14 years 11 months ago
Synthesis of Novel Views from a Single Face Image
Images formed by a human face change with viewpoint. A new technique is described for synthesizing images of faces from new viewpoints, when only a single 2D image is available. A...
Thomas Vetter
ICCV
2007
IEEE
16 years 1 months ago
3-D Reconstruction from Sparse Views using Monocular Vision
We consider the task of creating a 3-d model of a large novel environment, given only a small number of images of the scene. This is a difficult problem, because if the images are...
Ashutosh Saxena, Min Sun, Andrew Y. Ng