Grouping in the normalized cut framework
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
In this paper, we study low-level image segmentation in the normalized cut framework proposed by Shi and Malik (1997). The goal is to partition the image from a big picture point of view. Perceptually signicant groups are detected rst while small variations and details are treated later. Dierent image features-intensity, color, texture, con-tour continuity, motion and stereo disparity are treated in one uniform framework. We suggest directions for intermediate-level grouping on the output of this low-level segmentation.
Originalsprog | Engelsk |
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Tidsskrift | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Sider (fra-til) | 155-164 |
Antal sider | 10 |
ISSN | 0302-9743 |
DOI | |
Status | Udgivet - 1999 |
Eksternt udgivet | Ja |
Begivenhed | International Workshop on Shape, Contour and Grouping in Computer Vision - Palermo, Sicily, Italien Varighed: 26 maj 1998 → 29 maj 1998 |
Konference
Konference | International Workshop on Shape, Contour and Grouping in Computer Vision |
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Land | Italien |
By | Palermo, Sicily |
Periode | 26/05/1998 → 29/05/1998 |
Sponsor | GE Center For Research and Development, The Centro Interdipartimentale Tecnologie della Conoscenza (C.I.T.C.), Palermo, The National Science Foundation, University, Palermo, Sicily |
Bibliografisk note
Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
ID: 302060460