Seamless Reconstruction of Part-Based High-Relief Models
from Hand-Drawn Images

Marek Dvorožňák
CTU in Prague, FEE
Saman Sepehri Nejad
University of Utah
Ondřej Jamriška
CTU in Prague, FEE
Alec Jacobson
University of Toronto
Ladislav Kavan
University of Utah
Daniel Sýkora
CTU in Prague, FEE


We present a new approach to reconstruction of high-relief surface models from hand-made drawings. Our method is tailored to an interactive modeling scenario where the input drawing can be separated into a set of semantically meaningful parts of which relative depth order is known beforehand. For this kind of input, our technique allows inflating individual components to have a semi- elliptical profile, positioning them to satisfy prescribed depth order, and providing their seamless interconnection. Compared to previous methods, our approach is the first that formulates this reconstruction process as a single non-linear optimization problem. Because its direct optimization is computationally challenging, we propose an approximate solution which delivers comparable results orders of magnitude faster enabling an interactive user workflow. We evaluate our approach on various hand-made drawings and demonstrate that it provides state-of-the-art quality in comparison with previous methods which require comparable user intervention.

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To appear in Proceedings of the International Symposium on Sketch-Based Interfaces and Modeling, 2018

(Expressive 2018, Victoria, Canada, August 2018)

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