Camera calibration methodology based on a linear perspective transformation error model

The camera model which uses homogeneous coordinates, assumes the laws of Gaussian optics, and an extension for the aberration of geometric radial distortion is included. Features that collectively demonstrate the methodology's superiority over existing techniques are: (1) the simultaneous and a...

Full description

Saved in:
Bibliographic Details
Published inProceedings. 1988 IEEE International Conference on Robotics and Automation pp. 1858 - 1860 vol.3
Main Authors Puskorius, G.V., Feldkamp, L.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1988
Subjects
Calibration
Cameras
Geometrical optics
Iterative methods
Least squares methods
Optical computing
Optical devices
Optical distortion
Optical sensors
Solid modeling
Online AccessGet full text

Cover

More Information
Summary:The camera model which uses homogeneous coordinates, assumes the laws of Gaussian optics, and an extension for the aberration of geometric radial distortion is included. Features that collectively demonstrate the methodology's superiority over existing techniques are: (1) the simultaneous and accurate inference of all camera model parameters using only iterative linear least squares; (2) no requirement of a priori knowledge of camera model parameters; (3) utilization with a wide range of optical sensing devices; (4) adaptability to include camera model parameters that are departures from the assumptions of Gaussian optics; and (5) computational efficiency. Absolute stereo calibration accuracy of 0.084 mm in a 2000 cm/sup 3/ volume is achieved for a pair of miniaturized CCD array cameras.< >
ISBN:0818608528
9780818608520
DOI:10.1109/ROBOT.1988.12340