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    Chapter and Conference Paper

    On the Use of the Tree Structure of Depth Levels for Comparing 3D Object Views

    Today the simple availability of 3D sensory data, the evolution of 3D representations, and their application to object recognition and scene analysis tasks promise to improve autonomy and flexibility of robots...

    Fabio Bracci, Ulrich Hillenbrand in Computer Analysis of Images and Patterns (2017)

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    Chapter

    MRI-Based Skeletal Hand Movement Model

    The kinematics of the human hand is optimal with respect to force distribution during pinch as well as power grasp, reducing the tissue strain when exerting forces through opposing fingers and optimising conta...

    Georg Stillfried, Ulrich Hillenbrand in The Human Hand as an Inspiration for Robot… (2014)

  3. Chapter and Conference Paper

    Probabilistic Search for Object Segmentation and Recognition

    The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical cr...

    Ulrich Hillenbrand, Gerd Hirzinger in Computer Vision — ECCV 2002 (2002)