Cited By
View all- Barber ABrown MHogbin PCosker D(2018)Inferring changes in intrinsic parameters from motion blurComputers and Graphics10.1016/j.cag.2015.05.02252:C(155-170)Online publication date: 23-Dec-2018
Estimating camera intrinsics from motion blur
Article No.: 6, Pages 1 - 10
Abstract
Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames is an integral part of many computer vision applications. Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking difficult. Here we present a method for estimating the scale changes brought about by change in focal length from a single motion-blurred frame. We also use the results from two seperate methods for determining the rotation of a pair of motion-blurred frames to estimate the exposure time of a frame (i.e. the shutter angle).
References
[1]
Xiaogang Chen, Jie Yang, Qiang Wu, Jiajia Zhao, and Xiangjian He. Directional high-pass filter for blurry image analysis. Signal Processing: Image Communication, 27(7):760--771, 2012.
[2]
Sunghyun Cho and Seungyong Lee. Fast motion deblurring. In ACM SIGGRAPH Asia 2009 Papers, SIGGRAPH Asia '09, pages 145:1--145:8, New York, NY, USA, 2009. ACM.
[3]
Alexandre Karpenko, David Jacobs, Jongmin Baek, and Marc Levoy. Digital video stabilization and rolling shutter correction using gyroscopes.
[4]
Georg Klein and Tom Drummond. A single-frame visual gyroscope. In Proc. British Machine Vision Conference (BMVC'05), volume 2, pages 529--538, Oxford, September 2005. BMVA.
[5]
Wenbin Li, Yang Chen, JeeHang Lee, Gang Ren, and Darren Cosker. Robust optical flow estimation for continuous blurred scenes using rgb-motion imaging and directional filtering. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.
[6]
Chia-Kai Liang, Li-Wen Chang, and H. H. Chen. Analysis and compensation of rolling shutter effect. Image Processing, IEEE Transactions on, 17(8):1323--1330, Aug 2008.
[7]
Huei-Yung Lin. Vehicle speed detection and identification from a single motion blurred image. In Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on, volume 1, pages 461--467, Jan 2005.
[8]
S. K. Nayar and M. Ben-Ezra. Motion-based motion deblurring. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 26(6):689--698, June 2004.
[9]
T. Okatani and K. Deguchi. Robust estimation of camera translation between two images using a camera with a 3d orientation sensor. In Pattern Recognition, 2002. Proceedings. 16th International Conference on, volume 1, pages 275--278 vol.1, 2002.
[10]
Oliver J. Woodman. An introduction to inertial navigation. Technical Report UCAM-CL-TR-696, University of Cambridge, August 2007.
[11]
S. J. Orfanidis. Optimum Signal Processing: An Introduction. 2nd Edition. Prentice Hall, 1996.
[12]
Ioannis M. Rekleitis. Steerable filters and cepstral analysis for optical flow calculation from a single blurred image. In In Vision Interface, pages 159--166, 1996.
[13]
Jianbo Shi and Carlo Tomasi. Good features to track. In 1994 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593--600, 1994.
[14]
Yu-Wing Tai, Hao Du, M. S. Brown, and S. Lin. Image/video deblurring using a hybrid camera. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1--8, June 2008.
[15]
Li Zhang, T. Portz, and Hongrui Jiang. Optical flow in the presence of spatially-varying motion blur. 2013 IEEE Conference on Computer Vision and Pattern Recognition, 0:1752--1759, 2012.
Index Terms
- Estimating camera intrinsics from motion blur
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Published In
November 2014
153 pages
ISBN:9781450331852
DOI:10.1145/2668904
- Conference Chair:
- Peter Hall,
- Program Chairs:
- John Collomosse,
- Darren Cosker
Copyright © 2014 ACM.
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Sponsors
- BMVA: British Machine Vision Association and Society for Pattern Recognition
- Google Inc.
- Disney Research: Disney Research
- NVIDIA
- framestore: framestore
- fxphd: fxphd Pty. Ltd.
- The Foundry: The Foundry Visionmongers Ltd.
- FXGuide: FXGuide.com LLC
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 November 2014
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- Research-article
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CVMP '14
Sponsor:
- BMVA
- Disney Research
- framestore
- fxphd
- The Foundry
- FXGuide
CVMP '14: 11th European Conference on Visual Media Production
November 13 - 14, 2014
London, United Kingdom
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Overall Acceptance Rate 40 of 67 submissions, 60%
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Cited By
View all- Barber ABrown MHogbin PCosker D(2018)Inferring changes in intrinsic parameters from motion blurComputers and Graphics10.1016/j.cag.2015.05.02252:C(155-170)Online publication date: 23-Dec-2018
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