首页|Study Results from Zhejiang University Update Understanding of Intelligent Systems (Construction and Transformation Method of 3d Models Based On the Chain-type Modular Structure)
Study Results from Zhejiang University Update Understanding of Intelligent Systems (Construction and Transformation Method of 3d Models Based On the Chain-type Modular Structure)
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NETL
NSTL
Springer Nature
Investigators publish new report on Machine Learning - Intelligent Systems. According to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “This study proposes a method of constructing and transforming three-dimensional (3D) models that can convert a 3D model into a chain-type modular configuration and realize the mutual transformation between different configurations with a straight chain as the intermediate state through standard folding steps. A method for detailed representation of voxels is proposed.” Financial supporters for this research include Key Technologies Research and Development Program, National Key R&D Program of China, National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Zhejiang University, “Based on detailed voxels, an accelerated generation algorithm for the connection forest, which can describe the possible chain configurations, is developed. The foldability verification of the configurations and the generation of the folding operations are realized according to the folding rules. A collision detection algorithm based on encoding and projection is also introduced to detect collisions in the process of folding sequence generation. In this work, an interactive platform is established for users to calculate the input model transformation through simple operations and obtain a simulation animation of the folding operations.”
HangzhouPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningZhejiang University
NETL
NSTL
Springer Nature
