Object recognition with hierarchical stel models

Authors:
Alessandro Perina;Nebojsa Jojic;Umberto Castellani;Marco Cristani;Vittorio Murino
Affiliations:
University of Verona and Microsoft Research;Microsoft Research;University of Verona;University of Verona and Italian Institute of Technology;University of Verona and Italian Institute of Technology
Venue:
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Year:
2010

Citing 10
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Abstract

We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment multiple images into a consistent set of image regions. The segmentations are provided at several levels of granularity and links among them are automatically provided. Model training and inference in it is faster than most local feature extraction algorithms, and yet the provided image segmentation, and the segment matching among images provide a rich backdrop for image recognition, segmentation and registration tasks.