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» Object Classification Using a Fragment-Based Representation
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IWVF
2001
Springer
13 years 9 months ago
A Fragment-Based Approach to Object Representation and Classification
Shimon Ullman, Erez Sali, Michel Vidal-Naquet
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 4 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
ICCV
2009
IEEE
14 years 9 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
MVA
1996
122views Computer Vision» more  MVA 1996»
13 years 6 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien