Analyzing the Influences of Camera Warm-Up Effects on Image Acquisition

Handel, Holger

doi:10.2197/ipsjtcva.1.12

Cited by 16 publications

(11 citation statements)

References 13 publications

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“…They found that the image coordinate would drift to some tenth of a pixel during the first hour after camera start-up. To explain the reasons for the observed image coordinate drift, Handel 16 and Podbreznik and Potocnik 17,18 both established mathematical models based on pinhole model for modeling the effect of camera self-heating. Their models assume that temperature will not affect the intrinsic camera parameters and only translation of the camera needs to be considered.…”

Section: Introductionmentioning

confidence: 99%

Modeling of systematic errors in stereo-digital image correlation due to camera self-heating

Lubineau

2019

Sci Rep

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Errors in strain measurements in stereo-digital image correlation (stereo-DIC) caused by camera self-heating have been experimentally observed in previous research, and have been shown to widely vary from one system configuration to another. Such “thermal errors” are sometimes so large that they strongly compromise the accuracy of the measurements. Despite correcting such errors is crucial when aiming at high-accuracy measurements, the mechanism of the thermal error generation and how it relates to the camera parameters in stereo-DIC are still not clear. In this paper, we first explain in detail how self-heating can introduce large artifacts in the strains measured by stereo-DIC. Using a simplified stereovision model, we provide the main equations that describe the theoretical errors in 3D coordinate reconstruction and 3D deformation measurement. Through several sets of simulations, the effect of camera self-heating on the 3D coordinate, displacement and strain measurements, and the effect of camera parameters on the thermal errors in stereo-DIC were explicitly presented based on the derived theoretical formulas. Finally, several real self-heating tests using a smartphone-based single-camera stereo-DIC system confirm the correctness of theoretical analyses and simulation results.

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Section: Introductionmentioning

confidence: 99%

Modeling of systematic errors in stereo-digital image correlation due to camera self-heating

Lubineau

2019

Sci Rep

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“…Several studies on the effect of temperature on detection instruments are available [20,25,26]. Unfortunately, the effect of temperature on projection instruments is very difficult to describe and model.…”

Section: Discussionmentioning

confidence: 99%

Effect of temperature on calibration quality of structured-light three-dimensional scanners

et al. 2014

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This paper presents the outcome of research into the effects of ambient temperature changes on structured-light three-dimensional (3D) scanners. The tests were conducted in a thermal chamber and consisted of a comparison of the 3D measurement of a special reference unit (made of a carbon composite) performed at different temperatures, with measurements performed at the calibration temperature. A contact measuring arm with temperature compensation was used as a reference. Based on the results of these experiments, we propose a method that allows us to extend the existing scanner calibration method by using a temperature-correction procedure that is based on linear and nonlinear mathematical models. An exemplary application of this procedure has shown that the range of temperatures in which scanner accuracy is within declared limits can be increased 11-fold.

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“…The basics of our methods are shown in Figure 4. The most critical assumption of our method is that scanner is calibrated at a constant reference temperature after reaching thermal equilibrium (the warming-up process can take up to 1 h, depending on the camera unit and projector unit [39][40][41][42][43]45,46]). The proper calibration process allows calculation of the camera and projector location and orientation in the calibrated co-ordinate system [15,29,[55][56][57][58][59] (Figure 4, box 1 to 2a).…”

Section: Basics Of the Compensation Modelmentioning

confidence: 99%

“…The influence of temperature on images captured by digital cameras is an issue which has been described in the literature, and there exist methods for compensation of this effect [39][40][41][42][43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

Temperature Compensation Method for Mechanical Base of 3D-Structured Light Scanners

Adamczyk

Liberadzki

Sitnik

2020

Sensors

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The effect of temperature on three-dimensional (3D) structured light scanners is a very complex issue that, under some conditions, can lead to significant deterioration of performed measurements. In this paper, we present the results of several studies concerning the effect of temperature on the mechanical base of 3D-structured light scanners. We also propose a software compensation method suitable for implementation in any existing scanner. The most significant advantage of the described method is the fact that it does not require any specialized artifact or any additional equipment, nor access to the thermal chamber. It uses a simulation of mechanical base thermal deformations and a virtual 3D measurement environment that allows for conducting virtual measurements. The results from the verification experiments show that the developed method can extend the range of temperatures in which 3D-structured light scanners can perform valid measurements by more than six-fold.

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Analyzing the Influences of Camera Warm-Up Effects on Image Acquisition

Cited by 16 publications

References 13 publications

Modeling of systematic errors in stereo-digital image correlation due to camera self-heating

Modeling of systematic errors in stereo-digital image correlation due to camera self-heating

Effect of temperature on calibration quality of structured-light three-dimensional scanners

Temperature Compensation Method for Mechanical Base of 3D-Structured Light Scanners

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