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Efficient Clustering and Matching for Object Class Recognition

Leibe, Bastian and Mikolajczyk, Krystian and Schiele, Bernt (2006):
Efficient Clustering and Matching for Object Class Recognition.
In: British Machine Vision Conference (BMC 2006), [Conference or Workshop Item]

Abstract

In this paper we address the problem of building object class representations based on local features and fast matching in a large database. We propose an efficient algorithm for hierarchical agglomerative clustering. We examine different agglomerative and partitional clustering strategies and compare the quality of obtained clusters. Our combination of partitional-agglomerative clustering gives significant improvement in terms of efficiency while maintaining the same quality of clusters. We also propose a method for building data structures for fast matching in high dimensional feature spaces. These improvements allow to deal with large sets of training data typically used in recognition of multiple object classes.

Item Type: Conference or Workshop Item
Erschienen: 2006
Creators: Leibe, Bastian and Mikolajczyk, Krystian and Schiele, Bernt
Title: Efficient Clustering and Matching for Object Class Recognition
Language: German
Abstract:

In this paper we address the problem of building object class representations based on local features and fast matching in a large database. We propose an efficient algorithm for hierarchical agglomerative clustering. We examine different agglomerative and partitional clustering strategies and compare the quality of obtained clusters. Our combination of partitional-agglomerative clustering gives significant improvement in terms of efficiency while maintaining the same quality of clusters. We also propose a method for building data structures for fast matching in high dimensional feature spaces. These improvements allow to deal with large sets of training data typically used in recognition of multiple object classes.

Title of Book: British Machine Vision Conference (BMC 2006)
Divisions: 20 Department of Computer Science
Date Deposited: 31 Dec 2016 10:04
Identification Number: BMVC2006Leibe2
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