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Object detection and segmentation on a hierarchical region-based image representation

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Object detection and segmentation on a hierarchical region-based image representation
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the image at different resolution levels is created. Next, top-down, object class knowledge is used to select and combine regions from the hierarchy, in order to define the exact object shape. We illustrate the usefulness of the approach with four different object classes: sky, caption text, traffic signs and faces.
Verónica Vilaplana, Ferran Marqués,
Added 03 Mar 2011
Updated 03 Mar 2011
Type Journal
Year 2010
Where ICIP
Authors Verónica Vilaplana, Ferran Marqués, Miriam Leon, Antoni Gasull
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