High-speed videography using a dense camera array

Wilburn, Bennett; Joshi, Neel; Vaish, Vaibhav; Levoy, Marc; Horowitz, Mark

doi:10.1109/cvpr.2004.1315176

Cited by 110 publications

(72 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The effect of rolling shutters was also taken into account by Wilburn et al who built a multi-camera array with CMOS cameras [529,530], with several applications such as synthetic aperture imaging or allowing to acquire videos with increased frame rate, dynamic range, resolution, etc. A method for calibrating such a camera array was proposed by Vaish et al [516].…”

Section: Rolling Shutter 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

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

show abstract

Section: Rolling Shutter 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

show abstract

“…Gupta et al [12] proposed synthesizing high-resolution videos from low-resolution videos and a few high-resolution key frames. Wilburn et al [13] proposed using camera arrays to capture high speed video. Wakin et al [4] used the single-pixel camera for video capturing by using the sparsity of 3D discrete wavelet transform (DWT) coefficients.…”

Section: Related Workmentioning

confidence: 99%

Video from a single coded exposure photograph using a learned over-complete dictionary

Hitomi

Gupta

et al. 2011

2011 International Conference on Computer Vision

235

198

View full text Add to dashboard Cite

Cameras face a fundamental tradeoff between the spatial and temporal resolution -digital still cameras can capture images with high spatial resolution, but most high-speed video cameras suffer from low spatial resolution. It is hard to overcome this tradeoff without incurring a significant increase in hardware costs. In this paper, we propose techniques for sampling, representing and reconstructing the space-time volume in order to overcome this tradeoff. Our approach has two important distinctions compared to previous works: (1) we achieve sparse representation of videos by learning an over-complete dictionary on video patches, and (2) we adhere to practical constraints on sampling scheme which is imposed by architectures of present image sensor devices. Consequently, our sampling scheme can be implemented on image sensors by making a straightforward modification to the control unit. To demonstrate the power of our approach, we have implemented a prototype imaging system with per-pixel coded exposure control using a liquid crystal on silicon (LCoS) device. Using both simulations and experiments on a wide range of scenes, we show that our method can effectively reconstruct a video from a single image maintaining high spatial resolution.

show abstract

“…In [15], Wilburn et al presented a spatiotemporal optimal sampling method and an optical flow algorithm to improve view interpolation quality. They also presented several high-performance imaging applications, such as highspeed imaging [17] and synthetic aperture photography [18]. Zitnick et al [19] arranged eight cameras along a 1D arc and presented high-quality view interpolation using a sophisticated stereo reconstruction method followed by matting at object boundaries.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of a Real-Time Video-Based Rendering System Using a Network Camera Array

Taguchi

Takahashi

Naemura

2009

IEICE Trans. Inf. & Syst.

View full text Add to dashboard Cite

SUMMARYWe present a real-time video-based rendering system using a network camera array. Our system consists of 64 commodity network cameras that are connected to a single PC through a gigabit Ethernet. To render a high-quality novel view, our system estimates a view-dependent per-pixel depth map in real time by using a layered representation. The rendering algorithm is fully implemented on the GPU, which allows our system to efficiently perform capturing and rendering processes as a pipeline by using the CPU and GPU independently. Using QVGA input video resolution, our system renders a free-viewpoint video at up to 30 frames per second, depending on the output video resolution and the number of depth layers. Experimental results show high-quality images synthesized from various scenes.

show abstract

High-speed videography using a dense camera array

Abstract: We demonstrate a system for capturing multi-thousand frame-per-second (fps)

Cited by 110 publications

References 5 publications

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Camera Models and Fundamental Concepts Used in Geometric Computer Vision

Video from a single coded exposure photograph using a learned over-complete dictionary

Design and Implementation of a Real-Time Video-Based Rendering System Using a Network Camera Array

Contact Info

Product

Resources

About