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» From a Set of Shapes to Object Discovery
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CVPR
2008
IEEE
16 years 3 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
112
Voted
ER
2009
Springer
92views Database» more  ER 2009»
15 years 8 months ago
From User Goals to Service Discovery and Composition
Goals are often used to represent stakeholder’s objectives. The intentionality inherited by a goal drives stakeholders to pursuit the fulfillment of their goals either by themse...
Luiz Olavo Bonino da Silva Santos, Giancarlo Guizz...
113
Voted
CIARP
2007
Springer
15 years 8 months ago
Multi-class Binary Object Categorization Using Blurred Shape Models
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CVPR
2007
IEEE
15 years 5 months ago
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera
We present a novel approach to inferring 3D volumetric shape of both moving objects and static background from video sequences shot by a moving camera, with the assumption that th...
Chang Yuan, Gérard G. Medioni
IPMI
2003
Springer
16 years 2 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...