Comparison of view-based object recognition algorithms using realistic 3D models

V. Blanz, B. Schölkopf, H. Bülthoff, C. Burges, V. Vapnik, T. Vetter

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    138 Citations (Scopus)

    Abstract

    Two view-based object recognition algorithms are compared: (1) a heuristic algorithm based on oriented filters, and (2) a support vector learning machine trained on low-resolution images of the objects. Classification performance is assessed using a high mlmber of images generated by a computer graphics system under precisely controlled conditions. Training- and test-images show a set of 25 realistic three-dimensional models of chairs from viewing directions spread over the upper half of the viewing sphere. The percentage of correct identification of all 25 objects is measured.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks, ICANN 1996 - 1996 International Conference, Proceedings
    PublisherSpringer Verlag
    Pages251-256
    Number of pages6
    ISBN (Print)3540615105, 9783540615101
    DOIs
    Publication statusPublished - 1996
    Event1996 International Conference on Artificial Neural Networks, ICANN 1996 - Bochum, Germany
    Duration: 1996 Jul 161996 Jul 19

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1112 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference1996 International Conference on Artificial Neural Networks, ICANN 1996
    Country/TerritoryGermany
    CityBochum
    Period96/7/1696/7/19

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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