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» Learning Object Shape: From Drawings to Images
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CVPR
2008
IEEE
15 years 12 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
ICCV
2009
IEEE
16 years 2 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
3DIM
1999
IEEE
15 years 2 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
AIR
1998
160views more  AIR 1998»
14 years 9 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...
ICIAP
2005
ACM
15 years 10 months ago
3D Database Population from Single Views of Surfaces of Revolution
Solids of revolution (vases, bottles, bells, . . .), shortly SORs, are very common objects in man-made environments. We present a complete framework for 3D database population from...
Carlo Colombo, Dario Comanducci, Alberto Del Bimbo...