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Theses

Automatic interpretation and 3D modeling from line drawings of organic shapes

Even Entem 1, 2
2 IMAGINE - Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : Drawing is the most common way to communicate about shapes. Thus, using sketching as a tool in the process of modeling 3D content is an attractive approach. However in the world of machines, drawings are still difficult to interpret as shape depictions. This has been the challenge tackled by many different research works since leveraging the little we know about perception is non trivial. My thesis focuses on pushing the limits of what can be inferred from single drawings of smooth shapes without any help from the user. In a first attempt we chose to select a category of shape namely animals and other creatures for which prior knowledge helps to solve the problem. Then we proposed to generalize parts of the solution to tackle the case of free form organic shapes. This manuscript thus presents the respective solutions we developed. The first one is able to infer plausible 3D models of animals from a single sideview sketch using anatomic principles to both interpret the drawing’s elements and infer depth offsets between these elements. The second is an approach to decompose depictions of smooth shapes with non trivial cusp points into a set of structural parts’ silhouettes ordered in depth, which can be used for editing and animation purposes. Many related ideas were explored on the way, and the ones presented in this manuscript leaves me confident about the future of this field of research.
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Even Entem. Automatic interpretation and 3D modeling from line drawings of organic shapes. Computer Science [cs]. UNIVERSITÉ GRENOBLE ALPES, 2018. English. ⟨tel-01977694v1⟩

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