3D missing point estimation using fuzzy support vector regression

Author

Winaipanich, Sirinnared ; Auephanwiriyakul, Sansanee ; Theera-Umpon, Nipon

Author_Institution

Dept. of Comput. Eng., Chiang Mai Univ., Chiang Mai, Thailand

fYear

2010

fDate

19-21 May 2010

Firstpage

708

Lastpage

712

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.

Keywords

fuzzy set theory; image registration; optical scanners; regression analysis; support vector machines; 3D missing point estimation; Cartesian coordinate system; fuzzy support vector regression; Attenuation; Control systems; Design engineering; Design methodology; Frequency; Mechanical systems; Servomechanisms; Steady-state; Systems engineering and theory; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on

Conference_Location

Chiang Mai

Print_ISBN

978-1-4244-5606-2

Electronic_ISBN

978-1-4244-5607-9

Type

conf

Filename

5491618