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2006

An Implicit Shape Model for Combined Object Categorization and Segmentation

10 years 4 months ago
An Implicit Shape Model for Combined Object Categorization and Segmentation
We present a method for object categorization in real-world scenes. Following a common consensus in the field, we do not assume that a figure-ground segmentation is available prior to recognition. However, in contrast to most standard approaches for object class recognition, our approach automatically segments the object as a result of the categorization. This combination of recognition and segmentation into one process is made possible by our use of an Implicit Shape Model, which integrates both capabilities into a common probabilistic framework. This model can be thought of as a non-parametric approach which can easily handle configurations of large numbers of object parts. In addition to the recognition and segmentation result, it also generates a per-pixel confidence measure specifying the area that supports a hypothesis and how much it can be trusted. We use this confidence to derive a natural extension of the approach to handle multiple objects in a scene and resolve ambiguities ...
Bastian Leibe, Ales Leonardis, Bernt Schiele
Added 13 Oct 2010
Updated 13 Oct 2010
Type Conference
Year 2006
Where CLOR
Authors Bastian Leibe, Ales Leonardis, Bernt Schiele
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