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ConTesse: Accurate Occluding Contours for Subdivision Surfaces

Chenxi Liu 1 Pierre Bénard 2 Aaron Hertzmann 3 Shayan Hoshyari 4 
2 MANAO - Melting the frontiers between Light, Shape and Matter
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, LP2N - Laboratoire Photonique, Numérique et Nanosciences
Abstract : This paper proposes a method for computing the visible occluding contours of subdivision surfaces. The paper first introduces new theory for contour visibility of smooth surfaces. Necessary and sufficient conditions are introduced for when a sampled occluding contour is valid, that is, when it may be assigned consistent visibility. Previous methods do not guarantee these conditions, which helps explain why smooth contour visibility has been such a challenging problem in the past. The paper then proposes an algorithm that, given a subdivision surface, finds sampled contours satisfying these conditions, and then generates a new triangle mesh matching the given occluding contours. The contours of the output triangle mesh may then be rendered with standard non-photorealistic rendering algorithms, using the mesh for visibility computation. The method can be applied to any triangle mesh, by treating it as the base mesh of a subdivision surface.
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https://hal.inria.fr/hal-03699140
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Submitted on : Monday, June 20, 2022 - 9:24:18 AM
Last modification on : Tuesday, June 21, 2022 - 3:44:18 AM

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Chenxi Liu, Pierre Bénard, Aaron Hertzmann, Shayan Hoshyari. ConTesse: Accurate Occluding Contours for Subdivision Surfaces. ACM Transactions on Graphics, Association for Computing Machinery, 2022, ⟨10.1145/3544778⟩. ⟨hal-03699140⟩

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