TY - JOUR
T1 - Fold and Fit: Space Conserving Shape Editing
AU - Ibrahim, Mohamed
AU - Yan, Dong-Ming
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was partially supported by the National Natural Science Foundation of China (61772523, 61372168 and 61620106003), and the KAUST Visual Computing Center.
PY - 2017/9/1
Y1 - 2017/9/1
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/626010
UR - http://www.sciencedirect.com/science/article/pii/S0097849317301310
UR - http://www.scopus.com/inward/record.url?scp=85028956017&partnerID=8YFLogxK
U2 - 10.1016/j.cag.2017.08.002
DO - 10.1016/j.cag.2017.08.002
M3 - Article
SN - 0097-8493
VL - 70
SP - 316
EP - 326
JO - Computers & Graphics
JF - Computers & Graphics
ER -