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Theses

Geometric operators for 3D modeling using dictionary-based shape representations

Abstract : In this thesis, we study high-level 3D shape representations and developed the algorithm primitives necessary to manipulate shapes represented as a composition of several parts. We first review existing representations, starting with the usual low-level ones and then expanding on a high-level family of shape representations, based on dictionaries. Notably, we focus on representing shapes via a discrete composition of atoms from a dictionary of parts.We observe that there was no method to smoothly blend non-overlapping atoms while still looking plausible. Indeed, most methods either required overlapping parts or do not preserve large-scale details. Moreover, very few methods guaranteed the exact preservation of the input, which is very important when dealing with artist-authored meshes to avoid destroying the artist's work. We address this challenge by proposing a composition operator that is guaranteed to exactly keep the input while also propagating large-scale details.To improve the speed of our composition operator and allow interactive edition, we propose to simplify the input parts prior to completing them. This allow us to interactively previsualize the composition of large meshes. For this, we introduce a method to simplify a detailed mesh to a coarse one by preserving the large details. While more constrained than related approaches that do not produce a mesh, our method still yields faithful outputs.
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Submitted on : Wednesday, June 10, 2020 - 10:28:05 AM
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  • HAL Id : tel-02863338, version 1

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Thibault Lescoat. Geometric operators for 3D modeling using dictionary-based shape representations. Computer Vision and Pattern Recognition [cs.CV]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAT005⟩. ⟨tel-02863338⟩

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