CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2020_099
authors Tu, Chun Man and Hou, June Hao
year 2020
title After Abstraction, Before Figuration - Exploring the Potential Development of Form Re-topology and Evolution Reapplication with Three-dimensional Point Cloud Model Generation Logic.
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 517-526
summary In the era of three-dimensional (3D) informatics, the 3D point cloud modeling algorithm has the potential to further develop. In this study, we attempt to eliminate the limitations of the traditional reverse modeling method and directly turn point cloud data into the material for innovative architectural design by integrating 3D point cloud modeling into the CAD/CAM platform(Rhino/Grasshopper) most widely used by parametric designers. In this way, the randomly ordered point cloud model can be regenerated and reordered according to the designer's requirements. In addition, point cloud data can be spatially segmented and morphologically evolved according to the designer's preferences to construct a 3D model with higher efficiency and more dynamic real-time adjustment compared with the triangular mesh model. Moreover, when a computer vision technique is integrated into the point cloud design process, the point cloud model can be further used to more efficiently achieve rapid visualization, artisticization, and form adjustment. Therefore, point cloud modeling can not only be applied to the spatial structure presentation of building information modeling(BIM) but also can provide further opportunities for creative architectural design.
keywords Three-dimensional Point-cloud Model; Computer Vision; Point Set Registration; Topology Optimization; Regeneration
series CAADRIA
full text file.pdf (3,092,939 bytes)
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Details Citation Select
100%; open Achlioptas, P, Diamanti, O, Mitliagkas, I and Guibas, L (2017) Find in CUMINCAD Learning representations and generative models for 3d point clouds. , arXiv preprint arXiv:1707.02392

100%; open Landrieu, L and Simonovsky, M (2018) Find in CUMINCAD Large-scale point cloud semantic segmentation with superpoint graphs , IEEE Conference, pp. 4558-4567

100%; open Mehra, R, Tripathi, P, Sheffer, A and Mitra, NJ (2010) Find in CUMINCAD Technical Section: Visibility of noisy point cloud data , Computers and Graphics, Volume 34 Issue 3, pp. 219-230

100%; open Zwierzycki, M, Evers, HL and Tamke, M (2016) Find in CUMINCAD Parametric Architectural Design with Point-clouds: Volvox , Proceedings of eCAADe 2016, Finland, pp. 673-682

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