International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 8 (August 2019), Pages: 45-52

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 Original Research Paper

 Title: An innovative approach to automatically identify control point set for model deformation rectification

 Author(s): Huynh Cao Tuan 1, *, Do Nang Toan 2, Lam Thanh Hien 3, Thanh-Lam Nguyen 4

 Affiliation(s):

 1Center of Information and Resources, Lac Hong University, Dong Nai, Vietnam
 2Institute of Information Technology, Vietnam National University, Hanoi, Vietnam
 3Board of Rectorate, Lac Hong University, Dong Nai, Vietnam
 4Office of International Affairs, Lac Hong University, Dong Nai, Vietnam

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-2051-4466

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.08.007

 Abstract:

Rectifying 3D model deformation based on control point set is one of the most important problems frequently applied in virtual reality fields, in which control point set is the key for implementing deformed manipulation. This paper presents a technique to automatically identify control point set by analyzing the changes of each point in a 3D model through its variations, then gathering clusters and selecting important points to become a control point set. Our proposed approach was tested and proved to be effective in our practical experiments with a deforming technique based on the interpolation of the radial basis function. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Control point set, Model deformation, Radial basis function, Rectify deformation

 Article History: Received 7 April 2019, Received in revised form 7 June 2019, Accepted 7 June 2019

 Acknowledgement:

This paper shows some results from the technology science research project ID B2018-TNA-61. This paper is also partially supported by Lac Hong University under the Decision No. 879/QĐ-ĐHLH.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Tuan HC, Toan DN, and Hien LT et al. (2019). An innovative approach to automatically identify control point set for model deformation rectification. International Journal of Advanced and Applied Sciences, 6(8): 45-52

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 Figures

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 Tables

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