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id caadria2018_167
authors Sun, Chengyu, Zheng, Zhaohua, Wang, Yuze, Sun, Tongyu and Ruiz, Laura
year 2018
title A Topological-Rule-Based Algorithm Converting a Point Cloud into a Key-Feature Mesh
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 597-606
summary As a bridge between tangible models and digital counter parts in almost all the architectural applications with Tangible User Interface, converting point clouds scanned from objects into light meshes with key-features are essential in the human-computer interaction. In this paper, an algorithm based on topological rules is introduced, which focuses on computing a topological-right mesh from a point cloud scanned by a low-cost device in real time. Mesh faces are extracted by analyzing distribution of the normal vectors of neighbor point clusters and mesh vertexes are calculated according to the topological conditions of local surrounding faces. Such a final key-feature mesh has the largest geometric similarity and least vertexes to the tangible model at an architectural cognitive level, whose dimensional accuracy is at an acceptable level concerning the low-cost device used.
keywords Tangible model; Point cloud; Mesh simplification; Human Computer Interaction
series CAADRIA
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last changed 2018/05/17 07:08
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