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    Real-Time Symmetry-Preserving Deformation 

    Wu, Xiaokun; Wand, Michael; Hildebrandt, Klaus; Kohli, Pushmeet; Seidel, Hans-Peter (The Eurographics Association and John Wiley and Sons Ltd., 2014)
    In this paper, we address the problem of structure-aware shape deformation: We specifically consider deformations that preserve symmetries of the shape being edited. While this is an elegant approach for obtaining plausible ...
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    Feature Preserving Sketching of Volume Data 

    Kerber, Jens; Bokeloh, Martin; Wand, Michael; Krüger, Jens; Seidel, Hans-Peter (The Eurographics Association, 2010)
    In this paper, we present a novel method for extracting feature lines from volume data sets. This leads to a reduction of visual complexity and provides an abstraction of the original data to important structural features. ...
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    Partial Symmetry Detection in Volume Data 

    Kerber, Jens; Wand, Michael; Krüger, Jens; Seidel, Hans-Peter (The Eurographics Association, 2011)
    In this paper, we present an algorithm for detecting partial Euclidean symmetries in volume data. Our algorithm finds subsets in voxel data that map to each other approximately under translations, rotations, and reflections. ...

    A Correlated Parts Model for Object Detection in Large 3D Scans 

    Sunkel, Martin; Jansen, Silke; Wand, Michael; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2013)
    This paper addresses the problem of detecting objects in 3D scans according to object classes learned from sparse user annotation. We model objects belonging to a class by a set of fully correlated parts, encoding dependencies ...

    Learning Line Features in 3D Geometry 

    Sunkel, Martin; Jansen, Silke; Wand, Michael; Eisemann, Elmar; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Feature detection in geometric datasets is a fundamental tool for solving shape matching problems such as partial symmetry detection. Traditional techniques usually employ a priori models such as crease lines that are ...

    Intrinsic Shape Matching by Planned Landmark Sampling 

    Tevs, Art; Berner, Alexander; Wand, Michael; Ihrke, Ivo; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random-sampling-based techniques have been particularly successful due to their ...

    Mutable Elastic Models for Sculpting Structured Shapes 

    Milliez, Antoine; Wand, Michael; Cani, Marie-Paule; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2013)
    In this paper, we propose a new paradigm for free-form shape deformation. Standard deformable models minimize an energy measuring the distance to a single target shape. We propose a new, ''mutable'' elastic model. It ...

    Shape Analysis with Subspace Symmetries 

    Berner, Alexander; Wand, Michael; Mitra, Niloy J.; Mewes, Daniel; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2011)
    We address the problem of partial symmetry detection, i.e., the identification of building blocks a complex shape is composed of. Previous techniques identify parts that relate to each other by simple rigid mappings, ...
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    Meshless Modeling of Deformable Shapes and their Motion 

    Adams, Bart; Ovsjanikov, Maks; Wand, Michael; Seidel, Hans-Peter; Guibas, Leonidas J. (The Eurographics Association, 2008)
    We present a new framework for interactive shape deformation modeling and key frame interpolation based on a meshless finite element formulation. Starting from a coarse nodal sampling of an object's volume, we formulate ...

    LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes 

    Herzog, Robert; Mewes, Daniel; Wand, Michael; Guibas, Leonidas; Seidel, Hans-Peter (The Eurographics Association and John Wiley & Sons Ltd., 2015)
    In this paper, we propose a new method for structuring multi-modal representations of shapes according to semantic relations. We learn a metric that links semantically similar objects represented in different modalities. ...
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    Author
    Seidel, Hans-Peter (11)
    Wand, Michael (11)
    Berner, Alexander (2)Bokeloh, Martin (2)Guibas, Leonidas (2)Kerber, Jens (2)Krüger, Jens (2)Mewes, Daniel (2)Sunkel, Martin (2)Adams, Bart (1)... View MoreSubjectComputational Geometry and Object Modeling (2)Computer Graphics [I.3.5] (2)Artificial Intelligence [I.2.10] (1)Computer Graphics [I.3.6] (1)Image Processing and Computer Vision [I.4.8] (1)Keywords: line feature extraction, least square approximation, sketching, volume data (1)Keywords: symmetry detection, volume matching, information visualization, Categories and Subject Descriptors (according to ACM CCS): I.4.7 [Computing Methodologies]: Image Processing and Computer Vision-Feature Measurement I.4.8 [Computing Methodologies]: Image Processing and Computer Vision-Scene Analysis I.5.4 [Computing Methodologies]: Pattern Recognition-Applications (1)Methodology and Techniques (1)Object hierarchies (1)Object recognition (1)... View MoreDate Issued2011 (4)2013 (2)2008 (1)2010 (1)2012 (1)2014 (1)2015 (1)Has File(s)true (11)

    Eurographics Association copyright © 2013 - 2023 
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