Abstract
We present a framework that folds man-made objects in a structure-aware manner for space-conserving storage and transportation. Given a segmented 3D mesh of a man-made object, our framework jointly optimizes for joint locations, the folding order, and folding angles for each part of the model, enabling it to transform into a spatially efficient configuration while keeping its original functionality as intact as possible. That is, if a model is supposed to withstand several forces in its initial state to serve its functionality, our framework places the joints between the parts of the model such that the model can withstand forces with magnitudes that are comparable to the magnitudes applied on the unedited model. Furthermore, if the folded shape is not compact, our framework proposes further segmentation of the model to improve its compactness in its folded state.
Original language | English (US) |
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Pages (from-to) | 316-326 |
Number of pages | 11 |
Journal | Computers & Graphics |
Volume | 70 |
DOIs | |
State | Published - Sep 1 2017 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: This work was partially supported by the National Natural Science Foundation of China (61772523, 61372168 and 61620106003), and the KAUST Visual Computing Center.