A Coded 3d Calibration Method for Line-Scan Cameras

Lilienblum, Erik; Al-Hamadi, Ayoub; Michaelis, Bernd

doi:10.1007/978-3-642-40602-7_9

Cited by 10 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Static entocentric line-scan camera models are described by Horaud et al (1993), Luna et al (2010), Lilienblum et al (2013), Yao et al (2014), Sun et al (2016aSun et al ( , b, 2017, Niu et al (2018) and Song et al (2018). The camera models by Horaud et al (1993) and Luna et al (2010) do not model lens distortions.…”

Section: Related Workmentioning

confidence: 99%

A Camera Model for Line-Scan Cameras with Telecentric Lenses

Steger

Ulrich

2020

Int J Comput Vis

View full text Add to dashboard Cite

We propose a camera model for line-scan cameras with telecentric lenses. The camera model assumes a linear relative motion with constant velocity between the camera and the object. It allows to model lens distortions, while supporting arbitrary positions of the line sensor with respect to the optical axis. We comprehensively examine the degeneracies of the camera model and propose methods to handle them. Furthermore, we examine the relation of the proposed camera model to affine cameras. In addition, we propose an algorithm to calibrate telecentric line-scan cameras using a planar calibration object. We perform an extensive evaluation of the proposed camera model that establishes the validity and accuracy of the proposed model. We also show that even for lenses with very small lens distortions, the distortions are statistically highly significant. Therefore, they cannot be omitted in real-world applications.

show abstract

Section: Related Workmentioning

confidence: 99%

A Camera Model for Line-Scan Cameras with Telecentric Lenses

Steger

Ulrich

2020

Int J Comput Vis

View full text Add to dashboard Cite

show abstract

“…Looking at only the measurements from one height at a time the Min/Max range is reduced by a factor of 4 to 16µm and 20µm, while the benchmark calibration improves to 328µm and 87µm. (5)(6)(7)(8) 0.087 0.020 VI. CONCLUSIONS The presented approach for camera calibration features several improvements over the classical calibration using a calibration field in several areas.…”

Section: Vector ∆Vmentioning

confidence: 99%

“…Different approaches have been developed for various system setups. There are camera calibration methods for one camera systems [2], stereo [10], multi camera [1] and line camera systems [6]. Each is used to address different challenges for 3D measurement.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous multi-camera calibration based on phase-shift measurements on planar surfaces

Rapczyński

Lilienblum

Enzberg

et al. 2014

2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings

Self Cite

View full text Add to dashboard Cite

We developed a method to calibrate a variable number of cameras with overlapping fields of vision and a markerless planar calibration target. To identify distinct pass points in the camera images with subpixel accuracy we use projected horizontal and vertical phase shift measurements. The plane can be observed a variable amount of times in different positions, which need not to be known. The 3D reconstruction using the projector coordinates and the presented calibration achieves a higher level of accuracy in the measurement volume compared to markerbased passive calibration field techniques.

show abstract

“…The estimation of this simplified parameter set can be done by a linearizing and least-square adjustment, which we also described in [21]. Accordingly, we need only one collinearity condition equation…”

Section: Surface Reconstruction Approachmentioning

confidence: 99%

A Structured Light Approach for 3-D Surface Reconstruction With a Stereo Line-Scan System

Lilienblum

Al-Hamadi

2015

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

In this paper, we present a novel technique for optical 3-D surface reconstruction by using line-scan cameras and structured light in combination. The approach generating structured light is customized to the special demands of linescan image capturing. Owing to the distributed generation of light and the absence of shading elements, we obtain a light intensity that is comparable with conventional line lights. Thus, we achieve short integration times which is a necessary condition in most line-scan applications. Furthermore, with our approach we can generate different pattern sequences, which allows us to implement coded light methods such as time correlation or phase shifting. The light patterns can be switched synchronously with the captured lines of the camera. Thus, we are able to measure continuously whereby a single surface scan is sufficient to calculate a high-quality 3-D reconstruction.

show abstract

A Coded 3d Calibration Method for Line-Scan Cameras

Cited by 10 publications

References 4 publications

A Camera Model for Line-Scan Cameras with Telecentric Lenses

A Camera Model for Line-Scan Cameras with Telecentric Lenses

Simultaneous multi-camera calibration based on phase-shift measurements on planar surfaces

A Structured Light Approach for 3-D Surface Reconstruction With a Stereo Line-Scan System

Contact Info

Product

Resources

About