Cata-Fisheye Camera for Panoramic Imaging

Krishnan, Gurunandan; Nayar, Shree K.

doi:10.1109/wacv.2008.4544035

Cited by 23 publications

(12 citation statements)

References 17 publications

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“…Krishnan and Nayar recently proposed a catadioptric camera whose main optics is a fisheye, a camera they call cata-fisheye [289]. The motivation for this design is to achieve a spherical field of view in azimuth while not necessarily having a hemispherical one in elevation.…”

Section: Non-central Catadioptric Camerasmentioning

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: Non-central Catadioptric Camerasmentioning

confidence: 99%

“…It is furthermore easy to regulate the desired vertical field of view by displacing the mirror or employing mirrors of different shapes. Strictly speaking, the system is non-central in general, but the working range in which the parallax is negligible, is explained in [289].…”

Section: Non-central Catadioptric Camerasmentioning

confidence: 99%

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Sturm

2010

FNT in Computer Graphics and Vision

157

122

View full text Add to dashboard Cite

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“…One of the first developments was done by Rees in 1970 [36]. More recent examples of catadioptric systems can be found in [37][38][39][40]. Most of them permit omnidirectional vision, which means having a vision angle equal to 360 deg around the mirror axis.…”

Section: Catadioptric Vision Sensorsmentioning

confidence: 99%

A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors

2017

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Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of autonomous vehicles is available to solve different tasks. The advances in computer vision have led to a substantial increase in the use of cameras as the main sensors in mobile robots. They can be used as the only source of information or in combination with other sensors such as odometry or laser. Among vision systems, omnidirectional sensors stand out due to the richness of the information they provide the robot with, and an increasing number of works about them have been published over the last few years, leading to a wide variety of frameworks. In this review, some of the most important works are analysed. One of the key problems the scientific community is addressing currently is the improvement of the autonomy of mobile robots. To this end, building robust models of the environment and solving the localization and navigation problems are three important abilities that any mobile robot must have. Taking it into account, the review concentrates on these problems; how researchers have addressed them by means of omnidirectional vision; the main frameworks they have proposed; and how they have evolved in recent years.

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“…In [11] and [52], the authors also mentioned other possible object side configurations for light field acquisition by arranging prisms and lenses in different ways. 3) Wide FOV Imaging: Catadioptric techniques combine lenses and mirrors in camera design and are often used to increase the camera FOV [53]- [60]. These techniques have significant impacts on a variety of real-world applications, including surveillance, autonomous navigation, virtual reality, and video conferencing [61]- [63].…”

Section: A Spatially Variant Filter 1) Depth Estimationmentioning

confidence: 99%

Computational Cameras: Convergence of Optics and Processing

Zhou

Nayar

2011

IEEE Trans. on Image Process.

103

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Abstract-A computational camera uses a combination of optics and processing to produce images that cannot be captured with traditional cameras. In the last decade, computational imaging has emerged as a vibrant field of research. A wide variety of computational cameras has been demonstrated to encode more useful visual information in the captured images, as compared with conventional cameras. In this paper, we survey computational cameras from two perspectives. First, we present a taxonomy of computational camera designs according to the coding approaches, including object side coding, pupil plane coding, sensor side coding, illumination coding, camera arrays and clusters, and unconventional imaging systems. Second, we use the abstract notion of light field representation as a general tool to describe computational camera designs, where each camera can be formulated as a projection of a high-dimensional light field to a 2-D image sensor. We show how individual optical devices transform light fields and use these transforms to illustrate how different computational camera designs (collections of optical devices) capture and encode useful visual information.

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Cata-Fisheye Camera for Panoramic Imaging

Abstract: We present a novel panoramic imaging system which uses a curved mirror as a simple optical attachment to a fisheye lens.

Cited by 23 publications

References 17 publications

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors

Computational Cameras: Convergence of Optics and Processing

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