LineUp: Computing Chain-based Physical Transformation
Published in ACM Transactions on Graphics, 2019
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.
Recommended citation: Minjing Yu, Zipeng Ye, Yong-Jin Liu*, Ying He, Charlie C.L. Wang. LineUp: Computing Chain-based Physical Transformation. ACM Transactions on Graphics (To be presented at ACM SIGGRAPH 2019), Vol. 38, No. 1, Article No. 11, 2019.