Learning to recognize objects in images : acquiring and using probabilistic models of appearance
We present a method of recognizing three-dimensional objects in intensity images of cluttered scenes, using models learned from training images. By modeling each object with a series of views, representing each view with a large variety of features, and describing each feature probabilistically,...
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| Format: | Others |
| Language: | English |
| Published: |
2009
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| Online Access: | http://hdl.handle.net/2429/4774 |