A sparse object category model for efficient learning and exhaustive recognition

A sparse object category model for efficient learning and exhaustive recognition

We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semi-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter. The model is a sparse repr...

Полное описание

Библиографические подробности
Главные авторы:	Fergus, R, Perona, P, Zisserman, A
Формат:	Conference item
Язык:	English
Опубликовано:	IEEE 2005

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