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Improving graph matching via density maximization

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Date

2013

Authors

Wang, Chao
Wang, Lei
Liu, Lingqiao

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

Graph matching has been widely used in various applications in computer vision due to its powerful performance. However, it poses three challenges to image sparse feature matching: (1) The combinatorial nature limits the size of the possible matches, (2)

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Keywords

Citation

URI

http://hdl.handle.net/1885/63267

Collections

ANU Research Publications

Source

Proceedings of the IEEE International Conference on Computer Vision

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/ICCV.2013.425

Restricted until

2037-12-31

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01_Wang_Improving_graph_matching_via_2013.pdf (1.46 MB)

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