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Communication Dans Un Congrès Année : 1998

General Deformable Model Approach for Model-Based Reconstruction

Hervé Delingette
Johan Montagnat

Résumé

In this paper we propose a general approach for performing both model-based reconstruction and segmentation. We extract geometric models from 3D datasets by deforming a reference model. Classical approaches either perform registration of a template by evaluating global transformations or use the deformable models framework to apply free-form deformations. Some authors have proposed to combine both approaches. In our approach we introduce an a priori knowledge about the geometry and the topology of the objects to recover. Furthermore we show in this paper the link between computing a global transformation on a model and applying an external force field to a deformable model. We thus deduce a computer-efficient hybrid deformation scheme allowing to control the number of degrees of freedom of the deformable models through a single parameter. We then present a general framework integrating registration, hybrid and free-form deformations that performs robust reconstruction and segmentation. We insist on the geometric quality of the retrieved models.
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Dates et versions

hal-00691702 , version 1 (26-04-2012)

Identifiants

  • HAL Id : hal-00691702 , version 1

Citer

Hervé Delingette, Johan Montagnat. General Deformable Model Approach for Model-Based Reconstruction. International Workshop on Model-Based 3D Image Analysis (MB3IA98), Jan 1998, Bombay, India. pp.1-10. ⟨hal-00691702⟩

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