Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/7005
Title: Many-to-Many Matching under the l 1 Norm
Authors: Demirci, Muhammed Fatih
Osmanlıoğlu, Yusuf
Keywords: graph embedding
Earth Mover's Distance
graph matching
object recognition
Publisher: Springer-Verlag Berlin
Source: 15th International Conference on Image Analysis and Processing (ICIAP 2009) -- SEP 08-11, 2009 -- Vietri sul Mare, ITALY
Series/Report no.: Lecture Notes in Computer Science
Abstract: The problem of object recognition can be formulated as matching feature sets of different objects. Segmentation errors and scale difference result in many-to-many matching of feature sets, rather than one-to-one. This paper extends a previous algorithm on many to-many graph matching. The proposed work represents graphs, which correspond to objects, isometrically in the geometric space under the l(1) norm. Empirical evaluation of the algorithm on a set of recognition trails, including comparison with the previous approach, demonstrates the efficacy of the overall framework.
URI: https://hdl.handle.net/20.500.11851/7005
ISBN: 978-3-642-04145-7
ISSN: 0302-9743
1611-3349
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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