Many-to-many matching of scale-space feature hierarchies using metric embedding

Conference proceeding

Peer reviewed

M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman, Sven Dickinson and Lars Bretzner

Lecture notes in computer science, Vol.2695, pp.17-32

Scale space methods in computer vision (Isle of Skye, Scotland, 10 Jun 2003 - 12 Jun 2003)

2003

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Applied sciences

Artificial intelligence

Computer science; control theory; systems

Exact sciences and technology

Pattern recognition. Digital image processing. Computational geometry

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Title: Many-to-many matching of scale-space feature hierarchies using metric embedding
Creators: M. Fatih Demirci - Department of Computer Science, Drexel University, Philadelphia, PA 19104, United States
Ali Shokoufandeh - Drexel University
Yakov Keselman - School of Computer Science, Telecommunications and Information Systems DePaul University, Chicago, IL 60604, United States
Sven Dickinson - University of Toronto
Lars Bretzner - Computational Vision and Active Perception Laboatory Department Of Numerical Analysis and Computer Science, KTH, Stockholm, Sweden
Publication Details: Lecture notes in computer science, Vol.2695, pp.17-32
Conference: Scale space methods in computer vision (Isle of Skye, Scotland, 10 Jun 2003 - 12 Jun 2003)
Publisher: Springer
Resource Type: Conference proceeding
Language: English
Academic Unit: Computer Science (Computing)
Identifiers: 991019170613804721

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Collaboration types: Domestic collaboration; International collaboration
Web of Science research areas: Computer Science, Artificial Intelligence; Computer Science, Theory & Methods