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V4PCS: Volumetric 4PCS Algorithm for Global Registration

Title:

V4PCS: Volumetric 4PCS Algorithm for Global Registration

Huang, Jida and Kwok, Tsz Ho ORCID: https://orcid.org/0000-0001-7240-1426 (2017) V4PCS: Volumetric 4PCS Algorithm for Global Registration. Journal Of Mechanical Design, 139 (11). p. 111403.

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Official URL: http://doi.org/10.1115/1.4037477

Abstract

With the advances in three-dimensional (3D) scanning and sensing technologies, massive human-related data are now available and create many applications in data-driven design. Similarity identification is one of basic problems in data-driven design and can facilitate many engineering applications and product paradigm such as quality control and mass customization. Therefore, reusing information can create unprecedented opportunities in advancing the theory, method, and practice of product design. To enable information reuse, different models have to be aligned so that their similarity can be identified. This alignment is commonly known as the global registration that finds an optimal rigid transformation to align two 3D shapes (scene and model) without any assumptions on their initial positions. The Super 4-Points Congruent Sets (S4PCS) is a popular algorithm used for this shape registration. While S4PCS performs the registration using a set of 4 coplanar points, we find that incorporating the volumetric information of the models can improve the robustness and the efficiency of the algorithm, which are particularly important for mass customization. In this paper, we propose a novel algorithm, Volumetric 4PCS (V4PCS), to extend the 4 coplanar points to non-coplanar ones for global registration, and theoretically demonstrate the computational complexity is significantly reduced. Experimental tests are conducted on a number of models such as tooth aligner and hearing aid to compare with S4PCS. The experimental results show that the proposed V4PCS can achieve a maximum of 20 times speedup and can successfully compute the valid transformation with very limited number of sample points. An application of the proposed method in mass customization is also investigated.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Article
Refereed:Yes
Authors:Huang, Jida and Kwok, Tsz Ho
Journal or Publication:Journal Of Mechanical Design
Date:2 October 2017
Funders:
  • Natural Sciences & Engineering Research Council of Canada
Digital Object Identifier (DOI):10.1115/1.4037477
ID Code:983469
Deposited By: TSZ HO KWOK
Deposited On:08 Feb 2018 14:20
Last Modified:02 Oct 2018 00:00

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