Publication:
Fuzzy-based feature matching for 3D reconstruction from multiple views

Issued Date

2012-01-01

Resource Type

Conference Paper

Other identifier(s)

2-s2.0-84869394024

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Proceedings of the SICE Annual Conference. (2012), 768-772

Suggested Citation

Surapong Rattanalappaiboon, Panrasee Ritthipravat Fuzzy-based feature matching for 3D reconstruction from multiple views. Proceedings of the SICE Annual Conference. (2012), 768-772. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/14055

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Title

Fuzzy-based feature matching for 3D reconstruction from multiple views

Author(s)

Surapong Rattanalappaiboon
 Panrasee Ritthipravat

Other Contributor(s)

Mahidol University

Abstract

This paper presents new fuzzy based feature matching technique for 3D reconstruction from multiple views. Three fuzzy inputs are developed based on 1) traditional feature matching, 2) normalized RGB histogram, and 3) orientation similarity of the neighboring points. Fuzzy output represents a level of feature matching. The proposed technique is compared with the traditional correlation measure. Three 3D models are investigated, i.e., two chicken bones and a cup. The results showed that the proposed technique provided higher matching accuracy than the traditional one. Angle between two cameras can also be set wider. Therefore, the number of photos is greatly reduced. © 2012 SICE.

Keyword(s)

Computer Science
 Engineering

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/14055

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Scopus 2011-2015