Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates

Tibyani Tibyani; Sei Ichiro Kamata

doi:10.1109/ICIEV.2012.6317548

Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates

Tibyani Tibyani^*, Sei Ichiro Kamata

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper,we put forward an interest point detection framework and combine with a spin image algorithm to register them. A framework is presented in this study. This method make use of the Harris Operator Extension method of interest point detection on 3D manifold triangular meshes in barycentric coordinate. Using this approach, we can extract the object correctly and effectively in noise situation. The unique advantage of this framework is its applicability to triangular meshes models. Experimental results on a different number of models are shown to demonstrate more accurate and effectively results for global registering 3D Objects triangular meshes for three pairs of corresponding interest point features.

Original language	English
Title of host publication	2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012
Pages	122-127
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEV.2012.6317548
Publication status	Published - 2012
Event	2012 1st International Conference on Informatics, Electronics and Vision, ICIEV 2012 - Dhaka, Bangladesh Duration: 2012 May 18 → 2012 May 19

Publication series

Name	2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012

Conference

Conference	2012 1st International Conference on Informatics, Electronics and Vision, ICIEV 2012
Country/Territory	Bangladesh
City	Dhaka
Period	12/5/18 → 12/5/19

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems
Electrical and Electronic Engineering

Access to Document

10.1109/ICIEV.2012.6317548

Cite this

Tibyani, T., & Kamata, S. I. (2012). Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates. In 2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012 (pp. 122-127). Article 6317548 (2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012). https://doi.org/10.1109/ICIEV.2012.6317548

Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates. / Tibyani, Tibyani; Kamata, Sei Ichiro.
2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012. 2012. p. 122-127 6317548 (2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tibyani, T & Kamata, SI 2012, Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates. in 2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012., 6317548, 2012 International Conference on Informatics, Electronics and Vision, ICIEV 2012, pp. 122-127, 2012 1st International Conference on Informatics, Electronics and Vision, ICIEV 2012, Dhaka, Bangladesh, 12/5/18. https://doi.org/10.1109/ICIEV.2012.6317548

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AB - In this paper,we put forward an interest point detection framework and combine with a spin image algorithm to register them. A framework is presented in this study. This method make use of the Harris Operator Extension method of interest point detection on 3D manifold triangular meshes in barycentric coordinate. Using this approach, we can extract the object correctly and effectively in noise situation. The unique advantage of this framework is its applicability to triangular meshes models. Experimental results on a different number of models are shown to demonstrate more accurate and effectively results for global registering 3D Objects triangular meshes for three pairs of corresponding interest point features.

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Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates

Abstract

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ASJC Scopus subject areas

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