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Inferring changes in intrinsic parameters from motion blur

Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
2015 Computers & graphics  
In this work we describe a method for tracking changes in two camera intrinsic parameters -shutter angle and scale changes brought about by changes in focal length.  ...  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.  ...  Intrinsic Parameters The intrinsic parameters we consider in this work are focal length and shutter angle.  ... 
doi:10.1016/j.cag.2015.05.022 fatcat:7bv43aptybegvixjl5jmqm3imu

Estimating camera intrinsics from motion blur

Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
2014 Proceedings of the 11th European Conference on Visual Media Production - CVMP '14  
Here we present a method for estimating the scale changes brought about by change in focal length from a single motion-blurred frame.  ...  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.  ...  Intrinsic Parameters The intrinsic parameters we consider in this work are changes in focal length and shutter angle.  ... 
doi:10.1145/2668904.2668934 dblp:conf/cvmp/BarberBHC14 fatcat:7fx2zihcf5ggfpwga6dw2ya52q

Vernier and letter acuities for low-pass filtered moving stimuli

Susana T.L Chung, Harold E Bedell
1998 Vision Research  
Our results show that the empirically determined, equivalent intrinsic blur associated with both tasks increases as a function of stimulus velocity, suggesting corresponding increases in the size of optimally  ...  Vernier and letter acuities are both susceptible to degradation by image motion.  ...  Acknowledgements We thank Chris Kuether for help in constructing the apparatus and Thanh Nguyen for assistance with 'psychoflexing'. We are grateful to Nancy Coletta, Dennis Levi  ... 
doi:10.1016/s0042-6989(97)00327-1 pmid:9797943 fatcat:bee2seazmvaznkg2cytla46pom

Removing camera shake from a single photograph

Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman
2006 ACM SIGGRAPH 2006 Papers on - SIGGRAPH '06  
In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects.  ...  We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation.  ...  We would like the thank the following people for supplying us with blurred images for the paper: Omar Khan, Reinhard Klette, Michael Lewicki, Pietro Perona and Elizabeth Van Ruitenbeek.  ... 
doi:10.1145/1179352.1141956 fatcat:5j2qgzjxrvgk7coze22tnxolgi

Removing camera shake from a single photograph

Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman
2006 ACM Transactions on Graphics  
In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects.  ...  We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation.  ...  We would like the thank the following people for supplying us with blurred images for the paper: Omar Khan, Reinhard Klette, Michael Lewicki, Pietro Perona and Elizabeth Van Ruitenbeek.  ... 
doi:10.1145/1141911.1141956 fatcat:xrteo5enpnfethfz52y3m6ccb4

Towards Unrestrained Depth Inference with Coherent Occlusion Filling

Arnav V. Bhavsar, A. N. Rajagopalan
2011 International Journal of Computer Vision  
Traditional depth estimation methods typically exploit the effect of either the variations in internal parameters such as aperture and focus (as in depth from defocus), or variations in extrinsic parameters  ...  Inpainting is achieved by exploiting the cue from motion parallax to discover (in other images) the correspondence/color information missing in the reference image.  ...  However, at least one of the intrinsic parameters (r i , v i or u i ) in (22) is varied across images. Since there is no camera motion, only the blur acts as a cue for depth.  ... 
doi:10.1007/s11263-011-0476-5 fatcat:bdzmdt75f5ckxksu2oolkielui

Robust Feature Correspondences for Vision-Based Navigation with Slow Frame-Rate Cameras

Darius Burschka
2006 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems  
We solve the correspondence problem for very significant motion of point features between consecutive images by analyzing the motion blur to estimate the current motion parameters.  ...  The system is validated on real images from a camera moved by a mobile system, but it can be used for any type of motion ranging from flying systems to mobile robots operating in outdoor or indoor environments  ...  ACKNOWLEDGMENTS The work presented in this paper was sponsored by the Helmholtz Gesellschaft in the context of the Virtual Institute for Sensor Data Fusion and Telepresence.  ... 
doi:10.1109/iros.2006.281772 dblp:conf/iros/Burschka06 fatcat:2b3q4dfserechl4ei5trxq56oy

Blur perception throughout the visual field in myopia and emmetropia

Guido Maiello, Lenna Walker, Peter J. Bex, Fuensanta A. Vera-Diaz
2017 Journal of Vision  
The model's intrinsic blur parameter takes into account that a human observer's visual system has a baseline level of intrinsic blur arising from all optical and neurological sources.  ...  Using this model we ask how blur perception changes in the periphery and whether these chances are due to an increase in intrinsic noise (that combines all sources of visual blur, including optics and  ... 
doi:10.1167/17.5.3 pmid:28476060 pmcid:PMC5425112 fatcat:slsdkekrjzdpnmgylnvkkg26lq

Bayesian-Inference Embedded Spline-Kerneled Chirplet Transform for Spectrum-Aware Motion Magnification

Enjian Cai, Dongsheng Li, Jianyuan Lin, Hongnan Li
2022 Sensors  
The ability to discern subtle image changes over time is useful in applications such as product quality control, civil engineering structure evaluation, medical video analysis, music entertainment, and  ...  motion isolation.  ...  For ground truth amplification, the temporal changes are magnified by two times without changing any other parameters.  ... 
doi:10.3390/s22072794 pmid:35408408 pmcid:PMC9002565 fatcat:di257jaxl5gtffpr665udrvm2e

On Bayesian Adaptive Video Super Resolution

Ce Liu, Deqing Sun
2014 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Such models cannot capture the intrinsic characteristics that may differ from one sequence to another.  ...  In existing systems, either the motion models are oversimplified, or important factors such as blur kernel and noise level are assumed to be known.  ...  Lo-Bin Chang and Mr. Jianshu Chen for their help with the mathematical derivations of the performance bounds.  ... 
doi:10.1109/tpami.2013.127 pmid:24356354 fatcat:kxviiv74e5ak3bmhkvqiolw2fy

Rain Streak Removal for Single Image via Kernel Guided CNN [article]

Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang
2018 arXiv   pre-print
Then, our framework starts with learning the motion blur kernel, which is determined by two factors including angle and length, by a plain neural network, denoted as parameter net, from a patch of the  ...  We first model the rain streak interference with its motion blur mechanism.  ...  After modeling the rain streaks with motion blur kernel, the questions come to 1) how to infer the motion kernel from the data, and 2) how to utilize the information provided by the motion blur kernel  ... 
arXiv:1808.08545v2 fatcat:gdrgsmn7hrd53nqhzffnmay6de

Scene Text Deblurring in Non-stationary Video Sequences

Margarita Favorskaya, Vladimir Buryachenko
2016 Procedia Computer Science  
Text detection in natural scenes burdened by imperfect shooting conditions and blurring artifacts is the subject of the present paper.  ...  The original methodology based on the analysis of the gradient sharp profiles includes the automatic text detection in fully or partially blurred frames of a non-stationary video sequence.  ...  The distortion due to a motion blur or defocusing is a major issue among other impacts because the blurring changes the shape significantly.  ... 
doi:10.1016/j.procs.2016.08.259 fatcat:ugoduvc2fzborovgfbzthzqkpm

World From Blur

Jiayan Qiu, Xinchao Wang, Stephen J. Maybank, Dacheng Tao
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Abstract What can we tell from a single motion-blurred image? We show in this paper that a 3D scene can be revealed.  ...  one another to reproduce the input blurred image, enabling plausible 3D scene reconstruction from a single blurred image.  ...  (e) (d) (c) (b) (a) (f) Conclusion We show in this paper that given a blurred image, one can recover the 3D world hidden under the blurs given the camera intrinsic parameters.  ... 
doi:10.1109/cvpr.2019.00869 dblp:conf/cvpr/QiuWMT19 fatcat:lfvks6shundlxdxe5kdpmsmjv4

Recent Progress in Image Deblurring [article]

Ruxin Wang, Dacheng Tao
2014 arXiv   pre-print
From the viewpoint of how to handle the ill-posedness which is a crucial issue in deblurring tasks, existing methods can be grouped into five categories: Bayesian inference framework, variational methods  ...  accurate blur kernel.  ...  blur and the camera shake blur belong to motion blur, while the defocus blur is an instance of the intrinsic physical blur.  ... 
arXiv:1409.6838v1 fatcat:7pzsfb35nzedlpzd3calmomppu

Online SLAM with Any-time Self-calibration and Automatic Change Detection [article]

Nima Keivan, Gabe Sibley
2014 arXiv   pre-print
A framework for online simultaneous localization, mapping and self-calibration is presented which can detect and handle significant change in the calibration parameters.  ...  The system requires no prior information and is able to initialize without any special motions or routines, or in the case where observability over calibration parameters is delayed.  ...  INTRODUCTION Camera self-calibration is the inference of the intrinsic parameters of a camera without the explicit usage of a known calibration target.  ... 
arXiv:1411.1372v1 fatcat:3whwkg3smbcf3lge4qgebqx4jm
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