Results 1 to 10 of about 107,993 (282)

Visual Tracking Under Motion Blur [PDF]

IEEE Transactions on Image Processing, 2016
Most existing tracking algorithms do not explicitly consider the motion blur contained in video sequences, which degrades their performance in real-world applications where motion blur often occurs. In this paper, we propose to solve the motion blur problem in visual tracking in a unified framework. Specifically, a joint blur state estimation and multi-
Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao, Ming-Hsuan Yang, Fatih Porikli   +5 more
openaire   +6 more sources

Seeing blur: ‘motion sharpenin’ without motion [PDF]

Proceedings of the Royal Society of London. Series B: Biological Sciences, 2002
It is widely supposed that things tend to look blurred when they are moving fast. Previous work has shown that this is true for sharp edges but, paradoxically, blurred edges look sharper when they are moving than when stationary. This is 'motion sharpening'. We show that blurred edges also look up to 50% sharper when they are presented briefly (8-24 ms)
Mark A, Georgeson, Stephen T, Hammett
openaire   +2 more sources

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal [PDF]

, 2015
In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabilistic distribution of motion blur at the patch level using a convolutional ...
Cao, Wenfei, Ponce, Jean, Sun, Jian, Xu, Zongben   +3 more
core   +5 more sources

Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
We propose a method for jointly estimating the 3D motion, 3D shape, and appearance of highly motion-blurred objects from a video. To this end, we model the blurred appearance of a fast moving object in a generative fashion by parametrizing its 3D position, rotation, velocity, acceleration, bounces, shape, and texture over the duration of a predefined ...
Rozumnyi, D., Oswald, M.R., Ferrari, V., Pollefeys, M.   +3 more
openaire   +4 more sources

Motion Blurred Star Image Restoration Based on MEMS Gyroscope Aid and Blur Kernel Correction

Sensors, 2018
Under dynamic conditions, motion blur is introduced to star images obtained by a star sensor. Motion blur affects the accuracy of the star centroid extraction and the identification of stars, further reducing the performance of the star sensor.
Shiqiang Wang, Shijie Zhang, Mingfeng Ning, Botian Zhou   +3 more
doaj   +1 more source

Blind Restoration of Motion Blurred Barcode Images using Ridgelet Transform and Radial Basis Function Neural Network

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014
The aim of any image restoration techniques is recovering the original image from a degraded observation. One of the most common degradation phenomena in images is motion blur.
shamik tiwari
doaj   +1 more source

Camouflaged Adversarial Example Generation Method for the Form of Motion Blur in Traffic Scenes [PDF]

Jisuanji gongcheng
In the domain of autonomous driving perception systems, Convolutional Neural Network(CNN) plays a pivotal role as a fundamental technology in vehicle perception and decision making. However, adversarial attacks pose a substantial threat to the safety and
ZHANG Zhaoxin, HUANG Shize, ZHANG Bingjie, SHEN Tuo
doaj   +1 more source

A Motion Deblurring Network for Enhancing UAV Image Quality in Bridge Inspection

Drones, 2023
Unmanned aerial vehicles (UAVs) have been increasingly utilized for facility safety inspections due to their superior safety, cost effectiveness, and inspection accuracy compared to traditional manpower-based methods.
Jin-Hwan Lee, Gi-Hun Gwon, In-Ho Kim, Hyung-Jo Jung   +3 more
doaj   +1 more source

Near-invariant blur for depth and 2D motion via time-varying light field analysis [PDF]

, 2012
Recently, several camera designs have been proposed for either making defocus blur invariant to scene depth or making motion blur invariant to object motion.
Agrawal A., Agrawal A., Burt P. J., Cho T. S., Cossairt O., Dabov K., Ding Y., Hasinoff S. W., Henry Holtzman, Levin A., Levin A., Ramesh Raskar, Tai Y.-W., Tai Y.-W., Yosuke Bando, Zhang L., Zhuo S.   +16 more
core   +1 more source

INTEGRATION OF IMAGE-DERIVED AND POS-DERIVED FEATURES FOR IMAGE BLUR DETECTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The image quality plays an important role for Unmanned Aerial Vehicle (UAV)’s applications. The small fixed wings UAV is suffering from the image blur due to the crosswind and the turbulence.
T.-A. Teo, K.-Z. Zhan
doaj   +1 more source