Stereoscopic Vision - An Application Oriented Overview

Ahlers, Rolf-Juergen; Lu, Jianzhong

doi:10.1117/12.969862

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…Surface measurements, obtained as depth information by optical methods, are stored as a collection of distance measurements from a known reference coordinate system to target surface points [35]. In machine vision, optical methods are classified as passive and active [36,37]. Passive methods include stereo-vision, shape from shading, shape from motion and shape from texture.…”

Section: On-line Flatness Sensors In the Steelmaking Industrymentioning

confidence: 99%

On-Line Flatness Measurement in the Steelmaking Industry

Molleda

Usamentiaga

García

2013

Sensors

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Shape is a key characteristic to determine the quality of outgoing flat-rolled products in the steel industry. It is greatly influenced by flatness, a feature to describe how the surface of a rolled product approaches a plane. Flatness is of the utmost importance in steelmaking, since it is used by most downstream processes and customers for the acceptance or rejection of rolled products. Flatness sensors compute flatness measurements based on comparing the length of several longitudinal fibers of the surface of the product under inspection. Two main different approaches are commonly used. On the one hand, most mechanical sensors measure the tensile stress across the width of the rolled product, while manufacturing and estimating the fiber lengths from this stress. On the other hand, optical sensors measure the length of the fibers by means of light patterns projected onto the product surface. In this paper, we review the techniques and the main sensors used in the steelmaking industry to measure and quantify flatness defects in steel plates, sheets and strips. Most of these techniques and sensors can be used in other industries involving rolling mills or continuous production lines, such as aluminum, copper and paper, to name a few. Encompassed in the special issue, State-of-the-Art Sensors Technology in Spain 2013, this paper also reviews the most important flatness sensors designed and developed for the steelmaking industry in Spain.

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Section: On-line Flatness Sensors In the Steelmaking Industrymentioning

confidence: 99%

On-Line Flatness Measurement in the Steelmaking Industry

Molleda

Usamentiaga

García

2013

Sensors

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“…Intrinsic camera calibration is a necessary step before employing photogrammetry, 1 modeling, 2 and image-processing 3 techniques. The fitness of a calibration process can be evaluated as a relation between the amount and quality of calibration data fed into the calibration solver and the accuracy with which it then estimates the intrinsic optical parameters of the camera 4 , 5 .…”

Section: Introductionmentioning

confidence: 99%

Precision camera calibration using known target motions along three perpendicular axes

Shkurti,

Nahari,

Newman

et al. 2024

Opt. Eng.

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We present a method for precision intrinsic calibration of pinhole-model cameras. We refer to this method as "3-Axis." The algorithm employs a target moving with known displacements along three perpendicular axes to decrease the number of unknown terms that must be determined. This method along with new evaluation strategies for comparing the accuracy of pinhole camera calibration algorithms is described in detail. The 3-Axis approach is then compared with the current stateof-the art algorithms in simulated and physical settings and is shown to exceed them in accuracy and computational performance assuming an equal number of samples acquired.

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“…Conversely, non-contact devices are based on magnetic, optical or acoustic principles to obtain 3D data from an object. Non-contact techniques are usually divided into passive and active [7]. The former, which use environmental or ambient light to illuminate the scene, include techniques such as stereo vision and photogrammetry, among others.…”

Section: Introductionmentioning

confidence: 99%