Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/50714
Title: 3D missing point estimation using fuzzy support vector regression
Authors: Sirinnared Winaipanich
Sansanee Auephanwiriyakul
Nipon Theera-Umpon
Keywords: Computer Science
Engineering
Issue Date: 30-Jul-2010
Abstract: 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77954922581&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50714
Appears in Collections:CMUL: Journal Articles

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