Book ChapterDOI
Change Detection in the Presence of Motion Blur and Rolling Shutter Effect
Vijay Rengarajan Angarai Pichaikuppan,Rajagopalan Ambasamudram Narayanan,Aravind Rangarajan +2 more
- pp 123-137
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TLDR
This framework bundles modelling of motion blur in global shutter and rolling shutter cameras into a single entity and proposes an optimization problem that not only registers the reference image to the observed distorted image but detects occlusions as well, both within a single framework.Abstract:
The coalesced presence of motion blur and rolling shutter effect is unavoidable due to the sequential exposure of sensor rows in CMOS cameras We address the problem of detecting changes in an image affected by motion blur and rolling shutter artifacts with respect to a reference image Our framework bundles modelling of motion blur in global shutter and rolling shutter cameras into a single entity We leverage the sparsity of the camera trajectory in the pose space and the sparsity of occlusion in spatial domain to propose an optimization problem that not only registers the reference image to the observed distorted image but detects occlusions as well, both within a single frameworkread more
Citations
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Proceedings ArticleDOI
Rolling shutter motion deblurring
Shuochen Su,Wolfgang Heidrich +1 more
TL;DR: This work proposes an approach that delivers sharp and undistorted output given a single rolling shutter motion blurred image, by global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment.
Proceedings ArticleDOI
From Bows to Arrows: Rolling Shutter Rectification of Urban Scenes
TL;DR: A procedure to extract prominent curves from the RS image since this is essential for deciphering the varying row-wise motion and an optimization problem with line desirability costs based on straightness, angle, and length to resolve the geometric ambiguities.
Journal ArticleDOI
Image Registration and Change Detection under Rolling Shutter Motion Blur
TL;DR: This paper addresses the problem of registering a distorted image and a reference image of the same scene by estimating the camera motion that had caused the distortion by developing an algorithm which performs layered registration to detect changes.
Proceedings ArticleDOI
Rolling Shutter Super-Resolution
TL;DR: This paper develops an SR observation model that accounts for the row-wise distortions called the "rolling shutter" (RS) effect observed in images captured using non-stationary CMOS cameras and proposes a unified RS-SR framework to obtain an RS-free high-resolution image from distorted low-resolution images.
Posted Content
Semantic Change Pattern Analysis.
TL;DR: This work proposes a new task called semantic change pattern analysis for aerial images, which requires a result including both where and what changes happen, and provides the first well-annotated aerial image dataset for this task.
References
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Image change detectio algorithms : A systematic survey
TL;DR: A systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling is presented.
Journal ArticleDOI
Image change detection algorithms: a systematic survey
TL;DR: In this paper, the authors present a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling.
Book ChapterDOI
ClassCut for unsupervised class segmentation
TL;DR: A novel method for unsupervised class segmentation on a set of images that alternates between segmenting object instances and learning a class model based on a segmentation energy defined over all images at the same time, which can be optimized efficiently by techniques used before in interactive segmentation.