3D missing point estimation using fuzzy support vector regression

Laser line scanner are becoming very popular very recently because there is no touching the surface to determine coordinates. However, there are some missing points because of some parts of objects are out of sight from the laser. Therefore, in this research we introduce an automatic method to estim...

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Main Authors:	Sirinnared Winaipanich, Sansanee Auephanwiriyakul, Nipon Theera-Umpon
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science Engineering
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954922581&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50714
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-50714
record_format	dspace
spelling	th-cmuir.6653943832-507142018-09-04T04:45:51Z 3D missing point estimation using fuzzy support vector regression Sirinnared Winaipanich Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science Engineering Laser line scanner are becoming very popular very recently because there is no touching the surface to determine coordinates. However, there are some missing points because of some parts of objects are out of sight from the laser. Therefore, in this research we introduce an automatic method to estimate missing points in a Cartesian coordinate system using fuzzy support vector regression (FSVR). We also compare our result with the one from support vector regression (SVR). The results show that the FSVR is a suitable method in missing 3D coordinates estimation. 2018-09-04T04:44:38Z 2018-09-04T04:44:38Z 2010-07-30 Conference Proceeding 2-s2.0-77954922581 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954922581&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50714
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Engineering
spellingShingle	Computer Science Engineering Sirinnared Winaipanich Sansanee Auephanwiriyakul Nipon Theera-Umpon 3D missing point estimation using fuzzy support vector regression
description	Laser line scanner are becoming very popular very recently because there is no touching the surface to determine coordinates. However, there are some missing points because of some parts of objects are out of sight from the laser. Therefore, in this research we introduce an automatic method to estimate missing points in a Cartesian coordinate system using fuzzy support vector regression (FSVR). We also compare our result with the one from support vector regression (SVR). The results show that the FSVR is a suitable method in missing 3D coordinates estimation.
format	Conference Proceeding
author	Sirinnared Winaipanich Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_facet	Sirinnared Winaipanich Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_sort	Sirinnared Winaipanich
title	3D missing point estimation using fuzzy support vector regression
title_short	3D missing point estimation using fuzzy support vector regression
title_full	3D missing point estimation using fuzzy support vector regression
title_fullStr	3D missing point estimation using fuzzy support vector regression
title_full_unstemmed	3D missing point estimation using fuzzy support vector regression
title_sort	3d missing point estimation using fuzzy support vector regression
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954922581&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50714
_version_	1681423639643160576

3D missing point estimation using fuzzy support vector regression

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