Measuring bidirectional texture reflectance with a kaleidoscope

Han, Jefferson Y.; Perlin, Ken

doi:10.1145/1201775.882341

Cited by 69 publications

(73 citation statements)

References 17 publications

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“…A similar idea was suggested by Han and Perlin who proposed a single-lens stereo system akin to kaleidoscopes [203]. The camera looks through a tapered tube whose inside is made of planar mirror facets.…”

Section: Single-lens Stereo Systemsmentioning

confidence: 91%

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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: Single-lens Stereo Systemsmentioning

confidence: 91%

“…Most catadioptric single-lens stereo systems are achieved by setting one or more planar or curved mirrors in front of the camera [73,74,99,143,183,203,255,333,366,386,455] or in addition by keeping a direct view on the scene for a part of the camera's field of view [15,49,261,295,343,422,569].…”

Section: Single-lens Stereo 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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“…Reflected lights can be effectively measured from all directions using a hemispherical mirror [26] or a paraboloidal mirror [3]. Recently, a wide variety of mirrors such as a cylindrical mirror [10], several plane mirrors [9], an ellipsoidal mirror [16], and a combination of a paraboloidal mirror and a specially-designed dome mirror [7] have been used in conjunction with a projector and a camera.…”

Section: Brdf Measurement Using Mirrorsmentioning

confidence: 99%

Hemispherical Confocal Imaging Using Turtleback Reflector

Mukaigawa

Tagawa

Kim

et al. 2011

Computer Vision – ACCV 2010

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Abstract. We propose a new imaging method called hemispherical confocal imaging to clearly visualize a particular depth in a 3-D scene. The key optical component is a turtleback reflector which is a specially designed polyhedral mirror. By combining the turtleback reflector with a coaxial pair of a camera and a projector, many virtual cameras and projectors are produced on a hemisphere with uniform density to synthesize a hemispherical aperture. In such an optical device, high frequency illumination can be focused at a particular depth in the scene to visualize only the depth with descattering. Then, the observed views are factorized into masking, attenuation, and texture terms to enhance visualization when obstacles are present. Experiments using a prototype system show that only the particular depth is effectively illuminated and hazes by scattering and attenuation can be recovered even when obstacles exist.

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“…The majority of these methods requires a specialized hardware setup [6][7][8][9][10], have long acquisition/processing times [11,12] or are not able to scan specular surfaces [2,3]. In our work we will use a slightly adapted version of the Gray code based approach of Francken et al [1], employing a screen-camera setup as acquistion setup.…”

Section: Fine-scale Geometrymentioning

confidence: 99%

Gloss and Normal Map Acquisition of Mesostructures Using Gray Codes

Francken

Cuypers

Mertens

et al. 2009

Advances in Visual Computing

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Abstract. We propose a technique for gloss and normal map acquisition of finescale specular surface details, or mesostructure. Our main goal is to provide an efficient, easily applicable, but sufficiently accurate method to acquire mesostructures. We therefore employ a setup consisting of inexpensive and accessible components, including a regular computer screen and a digital still camera. We extend the Gray code based normal map acquisition approach of Francken et al. [1] which utilizes a similar setup. The quality of the original method is retained and without requiring any extra input data we are able to extract per pixel glossiness information. In the paper we show the theoretical background of the method as well as results on real-world specular mesostructures.

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Measuring bidirectional texture reflectance with a kaleidoscope

Cited by 69 publications

References 17 publications

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Hemispherical Confocal Imaging Using Turtleback Reflector

Gloss and Normal Map Acquisition of Mesostructures Using Gray Codes

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