A Novel Algorithm for Automatic 3D Model-based Free-form Object Recognition

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    8 Citations (Scopus)

    Abstract

    Recognition of free-form objects from unknown viewpoints is a difficult task, especially in the presence of occlusions. In this paper we address this problem and present a novel algorithm for automatic 3D model-based free-form object recognition. We use a robust tensor-based representation for matching surface patches from the scene with a model library. A 4D hash table is built from the tensors during the offline phase in order to make the online matching efficient. Our algorithm can accurately identify objects in occluded environments and calculate their pose while matching the scene and the model at a very low resolution. Preliminary experiments on a library of real objects show that our algorithm is applicable to free-form objects, accurate, efficient and robust to occlusions.
    Original languageEnglish
    Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC)
    EditorsP Wieringa, M Ludema
    Place of PublicationUSA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages6348-6353
    Volume7
    ISBN (Print)0780385675
    Publication statusPublished - Oct 2004
    EventA Novel Algorithm for Automatic 3D Model-based Free-form Object Recognition - The Hague, Netherlands
    Duration: 1 Jan 2004 → …

    Conference

    ConferenceA Novel Algorithm for Automatic 3D Model-based Free-form Object Recognition
    Period1/01/04 → …

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