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 | Schools: | School of Computer Science and Engineering | 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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