Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144752
Title: LineUp : computing chain-based physical transformation
Authors: Yu, Minjing
Ye, Zipeng
Liu, Yong-Jin
He, Ying
Wang, Charlie Chang Ling
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Yu, M., Ye, Z., Liu, Y.-J., He, Y., & Wang, C. C. L. (2019). LineUp : computing chain-based physical transformation. ACM Transactions on Graphics, 38(1), 11-. doi:10.1145/3269979
Journal: ACM Transactions on Graphics
Abstract: In this article, we introduce a novel method that can generate a sequence of physical transformations between 3D models with different shape and topology. Feasible transformations are realized on a chain structure with connected components that are 3D printed. Collision-free motions are computed to transform between different configurations of the 3D printed chain structure. To realize the transformation between different 3D models, we first voxelize these input models into a similar number of voxels. The challenging part of our approach is to generate a simple path—as a chain configuration to connect most voxels. A layer-based algorithm is developed with theoretical guarantee of the existence and the path length. We find that collision-free motion sequence can always be generated when using a straight line as the intermediate configuration of transformation. The effectiveness of our method is demonstrated by both the simulation and the experimental tests taken on 3D printed chains.
URI: https://hdl.handle.net/10356/144752
ISSN: 0730-0301
DOI: 10.1145/3269979
Rights: © 2019 Association for Computing Machinery. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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