Authors:
Liviu Toma
1
;
Fangwu Shu
1
;
Werner Neddermeyer
1
and
Alimpie Ignea
2
Affiliations:
1
University of Applied Sciences Gelsenkirchen, Germany
;
2
University “Politehnica” Timisoara, Romania
Keyword(s):
calibration, camera model, correspondence problem, distortion, stereo-vision, sub-pixel accuracy
Related
Ontology
Subjects/Areas/Topics:
Control and Supervision Systems
;
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vision, Recognition and Reconstruction
Abstract:
The goal of this paper is to build a stereo sensor to be used as a 3D measurement tool with direct application in automotive industry. The distance between the object to be measured and the stereo sensor is between 200 mm and 300 mm. This paper presents the solutions developed in order to produce, calibrate and verify a stereo sensor used to measure 3D coordinates with an accuracy of 0.1 mm. The measurement area is defined by a square with a side of 100 mm. The contribution of this paper to the extant literature is twofold. First, it presents a new method to compute the coefficient of the radial distortion. Second, it develops an image-processing algorithm, in order to minimize the errors that occur from the non-correspondence problem. The most important issues that need to be addressed are the following: defining a camera model in order to best simulate a real camera, and identifying the same point with both cameras of the stereo sensor (correspondence problem), in order to reduce t
he measurement errors.
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