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AAAI
1993
13 years 8 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar

Lab
815views
14 years 10 months ago
Video/Image Modeling and Synthesis (VIMS) Lab
VIMS Lab is situated in Department of Computer & Information Sc, University of Delaware, Newark, DE. USA. At VIMS we work on various problems related to image/video processing...
DAGM
2005
Springer
14 years 1 months ago
Vision-Based 3D Object Localization Using Probabilistic Models of Appearance
The ability to accurately localize objects in an observed scene is regarded as an important precondition for many practical applications including automatic manufacturing, quality ...
Christian Plagemann, Thomas Müller, Wolfram B...
ICCV
2009
IEEE
13 years 5 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
NIPS
2004
13 years 9 months ago
Common-Frame Model for Object Recognition
A generative probabilistic model for objects in images is presented. An object consists of a constellation of features. Feature appearance and pose are modeled probabilistically. ...
Pierre Moreels, Pietro Perona