Omnidirectional imaging with hyperboloidal projection

Yamazawa, Kazumasa; Yagi, Yasushi; Yachida, Masahiko

doi:10.1109/iros.1993.583287

Cited by 186 publications

(106 citation statements)

References 12 publications

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“…Central hyper-catadioptric systems seem to have been used first, cf. the patent by Rees in 1970 [424] and first applications in robotics and computer vision by Yagi and his co-workers [540,546]. They highlighted the single viewpoint property if the camera is positioned at one of the mirror's foci and also discussed optical properties of the system such as blur.…”

Section: Single-mirror Central Catadioptric Systemsmentioning

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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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: Single-mirror Central Catadioptric Systemsmentioning

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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“…Catadioptric systems [8,9,10,12,16,25,30] employ one or more reflective surfaces capable of projecting a wide view of the world onto a single sensor. Several of these designs [18,22,23,24] satisfy the so-called single viewpoint (SVP) constraint.…”

Section: Introductionmentioning

confidence: 99%

Cata-Fisheye Camera for Panoramic Imaging

Krishnan

Nayar

2008

2008 IEEE Workshop on Applications of Computer Vision

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“…Later, Mashita et al in [15] presented a calibration method for noncentral catadioptric cameras based on a SOR mirror. In particular, they devised a localization procedure for an off-axis catadioptric camera based on an hyperboloidal mirror [19]. Their method estimates the extrinsic parameters of the camera, i.e.…”

Section: Introductionmentioning

confidence: 99%