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SSPR
2004
Springer

Learning of Form Models from Exemplars

9 years 3 months ago
Learning of Form Models from Exemplars
Model-based image recognition requires a general model of the object that should be detected in an image. In many applications such models are not known a-priori instead of they must be learnt from examples. Real world applications such as the recognition of biological objects in images cannot be solved by one general model but a lot of different models are necessary in order to handle the natural variations of the appearance of the objects of a certain class. Therefore we are talking about case-based object recognition. In this paper we describe how the shape of an object can be extracted from images and input into a case description. These acquired number of cases we mine for more general shapes so that at the end a case base of shapes can be constructed and applied for case-based object recognition.
Petra Perner, Silke Jänichen
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where SSPR
Authors Petra Perner, Silke Jänichen
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