Shape Modeling by Sketching using Convolution Surfaces

Anca Alexe 1 Loïc Barthe 1 Marie-Paule Cani 2 Veronique Gaildrat 1
2 EVASION - Virtual environments for animation and image synthesis of natural objects
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper proposes a user-friendly modeling system that interactively generates 3D organic-like shapes from user drawn sketches. A skeleton, in the form of a graph of branching polylines and polygons, is first extracted from the user's sketch. The 3D shape is then defined as a convolution surface generated by this skeleton. The skeleton's resolution is adapted according to the level of detail selected by the user. The subsequent 2D strokes are used to infer new object parts, which are combined with the existing shape using CSG operators. We propose an algorithm for computing a skeleton defined as a connected graph of polylines and polygons. To combine the primitives we propose precise CSG operators for a convolution surfaces blending hierarchy. Our new formulation has the advantage of requiring no optimization step for fitting the 3D shape to the 2D contours. This yields interactive performances and avoids any non-desired oscillation of the reconstructed surface. As our results show, our system allows nonexpert users to generate a wide variety of free form shapes with an easy to use sketch-based interface.
Type de document :
Communication dans un congrès
13th Pacific Graphics Short papers, Oct 2005, Macau, China. 2005
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Contributeur : Marie-Paule Cani <>
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Dernière modification le : jeudi 11 janvier 2018 - 06:21:34
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Anca Alexe, Loïc Barthe, Marie-Paule Cani, Veronique Gaildrat. Shape Modeling by Sketching using Convolution Surfaces. 13th Pacific Graphics Short papers, Oct 2005, Macau, China. 2005. 〈inria-00402606〉

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