Presentation 1997/12/19
Self Camera Calibration of Two Images and 3D Measurements of Object using Feature Correspondence
Yuki IMAI, Akira TAKAHASHI, Ikuo ISHII, Hideo MAKINO,
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Abstract(in English) We propose an estimation method of camera parameters and 3D coordinates of feature points on the unknown objects at a time. This method doesn't need any known shaped object for camera calibration. The orientation is estimated, first. And then, the position is estimated. The estimation of the orientation needs only three or more correspondence of feature points. If the orientation is known, the estimation of position becomes scaling problem. The estimation of the position needs only a distance between two feature points. The validity of this method was verified by carrying out two computer simulations.
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Keyword(in English) computer vision / self camera calibration / optimization / 3D measurement
Paper # PRMU97-192
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Conference Information
Committee PRMU
Conference Date 1997/12/19(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self Camera Calibration of Two Images and 3D Measurements of Object using Feature Correspondence
Sub Title (in English)
Keyword(1) computer vision
Keyword(2) self camera calibration
Keyword(3) optimization
Keyword(4) 3D measurement
1st Author's Name Yuki IMAI
1st Author's Affiliation Graduate School of Science and Technology, Niigata University()
2nd Author's Name Akira TAKAHASHI
2nd Author's Affiliation Nagaoka National College of Technology
3rd Author's Name Ikuo ISHII
3rd Author's Affiliation Graduate School of Science and Technology, Niigata University
4th Author's Name Hideo MAKINO
4th Author's Affiliation Graduate School of Science and Technology, Niigata University
Date 1997/12/19
Paper # PRMU97-192
Volume (vol) vol.97
Number (no) 459
Page pp.pp.-
#Pages 7
Date of Issue