Robust Pose Estimation using the SwissRanger SR-3000 Camera

Sigurjon Arni Gudmundsson, Rasmus Larsen, Bjarne Kjær Ersbøll

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    Abstract

    In this paper a robust method is presented to classify and estimate an objects pose from a real time range image and a low dimensional model. The model is made from a range image training set which is reduced dimensionally by a nonlinear manifold learning method named Local Linear Embedding (LLE). New range images are then projected to this model giving the low dimensional coordinates of the object pose in an efficient manner. The range images are acquired by a state of the art SwissRanger SR-3000 camera making the projection process work in real-time.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science : Proceedings of the 15th Scandinavian Conference on Image Analysis
    EditorsBjarne Kjær Ersbøll, Kim Steenstrup Pedersen
    Volume4522
    Place of PublicationBerlin / Heidelberg
    PublisherSpringer
    Publication date2007
    Pages968-975
    ISBN (Print)978-3-540-73039-2
    DOIs
    Publication statusPublished - 2007
    Event15th Scandinavian Conference on Image Analysis - Aalborg, Denmark
    Duration: 10 Jun 200724 Jun 2007
    Conference number: 15

    Conference

    Conference15th Scandinavian Conference on Image Analysis
    Number15
    Country/TerritoryDenmark
    CityAalborg
    Period10/06/200724/06/2007

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