Fish-eye lens designs and their relative performance

Kumler, James J.; Bauer, Martin

doi:10.1117/12.405226

Cited by 96 publications

(60 citation statements)

References 7 publications

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“…This section aims at describing the most commonly used technologies in computer vision and related areas, without any claim of being exhaustive. More information, including historical overviews, can be found in the following references, which include textbooks, articles, and webpages [50,51,54,71,103,220,227,294,326,335,528,541].…”

Section: Technologiesmentioning

confidence: 99%

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Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Sturm

2010

FNT in Computer Graphics and Vision

157

122

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A printed and bound version is available at a special discount price of US35 from Now Publishers. This can be obtained by entering the promotional code CGV006023 on https://www.nowpublishers.com/bookorder.aspx?doi=0600000023&product=CGVInternational audienceThis survey is mainly motivated by the increased availability and use of panoramic image acquisition devices, in computer vision and various of its applications. Different technologies and different computational models thereof exist and algorithms and theoretical studies for geometric computer vision ("structure-from-motion") are often re-developed without highlighting common underlying principles. One of the goals of this survey is to give an overview of image acquisition methods used in computer vision and especially, of the vast number of camera models that have been proposed and investigated over the years, where we try to point out similarities between different models. Results on epipolar and multi-view geometry for different camera models are reviewed as well as various calibration and self-calibration approaches, with an emphasis on non-perspective cameras. We finally describe what we consider are fundamental building blocks for geometric computer vision or structure-from-motion: epipolar geometry, pose and motion estimation, 3D scene modeling, and bundle adjustment. The main goal here is to highlight the main principles of these, which are independent of specific camera models

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Section: Technologiesmentioning

confidence: 99%

“…Various fisheye lens designs and some performance characteristics were presented by Kumler and Bauer [294]. They used the following model:…”

Section: Fisheye Modelsmentioning

confidence: 99%

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Sturm

2010

FNT in Computer Graphics and Vision

157

122

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“…Table 3 lists typical fish-eye mapping functions. In a more general form, Kumler and Bauer (2000) suggested that circular image fish-eye lenses have mapping functions equal to…”

Section: F Sigernes Et Al: Auroral All-sky Camera Calibrationmentioning

confidence: 99%

Auroral all-sky camera calibration

Sigernes

Holmen

Biles

et al. 2014

Geosci. Instrum. Method. Data Syst.

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Abstract.A two-step procedure to calibrate the spectral sensitivity to visible light of auroral all-sky cameras is outlined. Center pixel response is obtained by the use of a Lambertian surface and a standard 45 W tungsten lamp. Screen brightness is regulated by the distance between the lamp and the screen. All-sky flat-field correction is carried out with a 1 m diameter integrating sphere. A transparent Lexan dome at the exit port of the sphere is used to simulate observing conditions at the Kjell Henriksen Observatory (KHO). A certified portable low brightness source from Keo Scientific Ltd was used to test the procedure. Transfer lamp certificates in units of Rayleigh per Ångstrøm (R/Å) are found to be within a relative error of 2 %. An all-sky camera flat-field correction method is presented with only 6 required coefficients per channel.

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“…Fisheye cameras are cameras using wide−angle lenses, which enable the camera to capture a semi−spherical field− −of−view. Fisheye lenses are constructed to follow specific projection functions that map a sphere or a hemisphere onto a plane [17,18]. The different spherical mappings are defi− ned by the following equations…”

Section: Fisheye Cameramentioning

confidence: 99%

Wide-angle vision for road views

Huang

Fehrs

Hartmann

et al. 2013

Opto-Electronics Review

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The field-of-view of a wide-angle image is greater than (say) 90 degrees, and so contains more information than available in a standard image. A wide field-of-view is more advantageous than standard input for understanding the geometry of 3D scenes, and for estimating the poses of panoramic sensors within such scenes. Thus, wide-angle imaging sensors and methodologies are commonly used in various road-safety, street surveillance, street virtual touring, or street 3D modelling applications. The paper reviews related wide-angle vision technologies by focusing on mathematical issues rather than on hardware.

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Fish-eye lens designs and their relative performance

Cited by 96 publications

References 7 publications

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Auroral all-sky camera calibration

Wide-angle vision for road views

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