On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to expl...
| Published in: | Springer eBooks |
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| Format: | eBook |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Series: | Studies in Systems, Decision and Control,
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-3-319-11325-8 Перейти в каталог НБ ТГУ |