Estimating camera intrinsics from motion blur
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Summary
A method for estimating the scale changes brought about by change in focal length from a single motion-blurred frame is presented and the results from two seperate methods for determining the rotation of a pair of motion- Blurred frames are used to estimate the exposure time of a frame.
- Type
- article
- Published
- 2014-11-13
- Cited by
- 1
- References
- 17
- Access
- Open access
- OpenAlex
- https://openalex.org/W2062518868
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7235743
Keywords
Computer vision, Artificial intelligence, Motion blur, Shutter, Computer science
References
- Fast motion deblurring
- Optimum Signal Processing: An Introduction
- A Single-frame Visual Gyroscope
- Vehicle Speed Detection and Identification from a Single Motion Blurred Image
- Directional high-pass filter for blurry image analysis
- Optical flow in the presence of spatially-varying motion blur
- Robust optical flow estimation for continuous blurred scenes using RGB-motion imaging and directional filtering
- Motion-based motion deblurring
- Steerable Filters and Cepstral Analysis for Optical Flow Calculation from a Single Blurred Image
- Good features to track
- Robust estimation of camera translation between two images using a camera with a 3D orientation sensor
- Image/video deblurring using a hybrid camera
- An introduction to inertial navigation
- Fast motion deblurring
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Analysis and Compensation of Rolling Shutter Effect
- CTSR 2011-03 Digital Video Stabilization and Rolling Shutter Correction using Gyroscopes
- Robust estimation
- Optimum signal processing: An introduction. Second Edition
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