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Sequential Triangle Strip Generator based on Hopfield Networks

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    SYSNO ASEP0042949
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleSequential Triangle Strip Generator based on Hopfield Networks
    TitleGenerátor sekvenčních trojúhelníkových pásů založený na Hopfieldových sítích
    Author(s) Šíma, Jiří (UIVT-O) RID, SAI, ORCID
    Lněnička, Radim (UTIA-B)
    Source TitleNeural Computation - ISSN 0899-7667
    Roč. 21, č. 2 (2009), s. 583-617
    Number of pages35 s.
    Languageeng - English
    CountryUS - United States
    Keywordssequential triangle strip ; combinatorial optimization ; Hopfield network ; minimum energy ; simulated annealing
    Subject RIVIN - Informatics, Computer Science
    R&D Projects1M0545 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    1ET100300517 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    AV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000263387000012
    EID SCOPUS67650311310
    DOI10.1162/neco.2008.10-07-623
    AnnotationThe important task of generating the minimum number of sequential triangle strips (tristrips) for a given triangulated surface model is motivated by applications in computer graphics. This hard combinatorial optimization problem is reduced to the minimum energy problem in Hopfield nets by a linear-size construction. In particular, the classes of equivalent optimal stripifications are mapped one to one to the minimum energy states that are reached by a Hopfield network during sequential computation starting at the zero initial state. Thus the underlying Hopfield network powered by simulated annealing (i.e. Boltzmann machine) which is implemented in a program HTGEN can be used for computing the semi-optimal stripifications. Practical experiments confirm that one can obtain much better results using HTGEN than by a leading stripification program FTSG although the running time of simulated annealing grows rapidly near the global optimum. Nevertheless, HTGEN exhibits empirical linear ...
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2009
Number of the records: 1  

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