Object class recognition by unsupervised scale-invariant learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for all aspects of the object: shape, appearance, occlusion and...
| Main Authors: | , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
IEEE
2003
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