Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation-Reference-Cited by-同舟云学术

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Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation

Published:2023-01-01 Issue:1 Volume:45 Page:608-622
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Levinkov Evgeny¹^ORCID,Kardoost Amirhossein²^ORCID,Andres Bjoern³^ORCID,Keuper Margret⁴^ORCID

Affiliation:

1. Bosch Center for Artificial Intelligence, Renningen, Baden-Württemberg, Germany

2. Data and Web Science Group, University of Mannheim, Mannheim, Baden-Württemberg, Germany

3. TU Dresden, Dresden, Saxony, Germany

4. University of Siegen, Siegen, Germany

Funder

Dresden/Leipzig Center for Scalable Data Analytics and Artificial Intelligence

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/9970415/09706260.pdf?arnumber=9706260

Reference100 articles.

1. Fast approximate energy minimization via graph cuts

2. Energy-Based Geometric Multi-model Fitting

3. Multiple Models Fitting as a Set Coverage Problem

4. IBM internal report;tanimoto,1957

5. Segmentation of Moving Objects by Long Term Video Analysis

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