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» Learning the 2-D Topology of Images
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CVPR
2005
IEEE
14 years 12 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
IADIS
2004
13 years 11 months ago
A Proposal for Visualising Learning Materials in A 3D Space
This paper introduces a study, part of a work concerning a tool that enables teachers to create educational materials. Production of such educational materials is based on predefi...
Dominique Deuff, Nicole Devoldère, Isabelle...
ICPR
2006
IEEE
14 years 11 months ago
Isomap Based on the Image Euclidean Distance
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of man...
Jie Chen, Ruiping Wang, Shiguang Shan, Wen Gao, Xi...
CVPR
2007
IEEE
14 years 12 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...
EDUTAINMENT
2006
Springer
14 years 1 months ago
3D Body Reconstruction from Photos Based on Range Scan
Abstract. We present a data-driven shape model for reconstructing human body models from one or more 2D photos. One of the key tasks in reconstructing the 3D model from image data ...
Hyewon Seo, Young In Yeo, KwangYun Wohn