A novel calibration approach to structured light 3D vision inspection

Zhang, Guangjun; Wei, Zhenzhong

doi:10.1016/s0030-3992(02)00031-2

Cited by 72 publications

(33 citation statements)

References 17 publications

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“…It is based on the principle of finding the pixel distance by measuring the projections of each pixel on two separate cameras by geometric methods because the distance and angle between cameras are known in imaging which is performed using two separate calibrated cameras. Although it is low cost, the accuracy performances depend on calibration and the sensitivity of camera parameters [15]. Time of flight cameras containing both rgb camera and an infrared sensor get depth information as well as rgb information by measuring the flight time of the infrared waves.…”

Section: D Laser Cameras and Getting 3d Datamentioning

confidence: 99%

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Learning Based Experimental Approach For Condition Monitoring Using Laser Cameras In Railway Tracks

Santur¹,

Karaköse

Akın

2016

International Journal of Applied Mathematics, Electronics and Computers

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Abstract:Detecting the rail surface faults is one of the most important components of railway inspection process which should be performed periodically. Today, the railway inspection process is commonly performed using computer vision. Performing railway inspection based on image processing can lead to false-positive results. The fact that the oil and dust residues occurring on railway surfaces can be detected as an error by the image processing software can lead to loss of time and additional costs in the railway maintenance process. In this study, a hardware and software architecture are presented to perform railway surface inspection using 3D laser cameras. The use of 3D laser cameras in railway inspection process provides high accuracy rates in real time. The reading rate of laser cameras to read up to 25.000 profiles per second is another important advantage provided in real time railway inspection. Consequently, a computer vision-based approach in which 3D laser cameras that could allow for contactless and fast detection of the railway surface and lateral defects such as fracture, scouring and wear with high accuracy are used in the railway inspection process was proposed in the study.

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Section: D Laser Cameras and Getting 3d Datamentioning

confidence: 99%

“…They are particularly used in applications such as game consoles, virtual reality and three-dimensional modeling. They have cost effective and low accuracy solutions [14,15]. Another method used in obtaining three-dimensional image is the use of laser cameras [16].…”

Section: D Laser Cameras and Getting 3d Datamentioning

confidence: 99%

Learning Based Experimental Approach For Condition Monitoring Using Laser Cameras In Railway Tracks

Santur¹,

Karaköse

Akın

2016

International Journal of Applied Mathematics, Electronics and Computers

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“…(5). Based on the perspective collineation relationship of N points in one plane, a technique called 'coplanar calibration method' is proposed to sovle Eq.…”

Section: Calibration Of the Structure-light Sensormentioning

confidence: 99%

“…To meet this requirement, several non-contact sensors have been developed recently, such as laser beam probes [2,3], structured-light sensors [5,6] and Moire topography projectors [10][11][12]. These sensors have been mounted on CMMs or CNC machines to realize non-contact scanning to improve measurement speed greatly [1,4,[7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Complete 3D measurement in reverse engineering using a multi-probe system

Xie

Wang

Qiumei

2005

International Journal of Machine Tools and Manufacture

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“…To meet the requirement of accurate and efficent 3-D measurement, several types of non-contact sensors have been developed, such as laser beam probes [1,2] and structured-light sensors [3,4]. The laser beam sensor can be considered as a 1-D sensor that outputs a distance value from the zero reading point, while the structured-light sensor is a 2-D sensor, which has a 2-D coordinate system located on the laser plane, and the collected data have two coordinates.…”

Section: Introductionmentioning

confidence: 99%