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Blended Deformable Models

Published: 01 April 1996 Publication History

Abstract

This paper develops a new class of parameterized models based on the linear interpolation of two parameterized shapes along their main axes, using a blending function. This blending function specifies the relative contribution of each component shape on the resulting blended shape. The resulting blended shape can have aspects of each of the component shapes. Using a small number of additional parameters, blending extends the coverage of shape primitives while also providing abstraction of shape. In particular, it offers the ability to construct shapes whose genus can change. Blended models are incorporated into a physics-based shape estimation framework which uses dynamic deformable models. Finally, we present experiments involving the extraction of complex shapes from range data including examples of dynamic genus change.

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Published In

cover image IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence  Volume 18, Issue 4
April 1996
129 pages
ISSN:0162-8828
Issue’s Table of Contents

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 April 1996

Author Tags

  1. Shape representation
  2. physics-based modeling.
  3. shape abstraction
  4. shape blending
  5. shape estimation

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View all
  • (2007)SQ-MapIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2007.2013:1(80-93)Online publication date: 1-Jan-2007
  • (2005)Incremental Model-Based Estimation Using Geometric ConstraintsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2005.10427:5(727-738)Online publication date: 1-May-2005
  • (2005)Recover human pose from monocular image under weak perspective projectionProceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction10.1007/11573425_4(36-46)Online publication date: 21-Oct-2005
  • (2002)Segmentation of 3D Medical Structures Using Robust Ray PropagationProceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I10.5555/646925.709796(572-579)Online publication date: 25-Sep-2002
  • (2001)Extending Superquadrics with Exponent FunctionsGraphical Models10.1006/gmod.2000.052963:1(1-20)Online publication date: 1-Jan-2001
  • (2000)Snake PedalsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.85700222:5(445-459)Online publication date: 1-May-2000
  • (1999)Creating generative models from range imagesProceedings of the 26th annual conference on Computer graphics and interactive techniques10.1145/311535.311557(195-204)Online publication date: 1-Jul-1999
  • (1999)Volumetric Deformation Analysis Using Mechanics-Based Data FusionInternational Journal of Computer Vision10.1023/A:100816311259035:1(87-107)Online publication date: 1-Nov-1999
  • (1998)Shape Evolution With Structural and Topological Changes Using BlendingIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/34.73055420:11(1186-1205)Online publication date: 1-Nov-1998
  • (1997)Multi-Level Shape Representation Using Global Deformations andLocally Adaptive Finite ElementsInternational Journal of Computer Vision10.1023/A:100792970234725:1(49-61)Online publication date: 1-Oct-1997

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