Results 201 to 210 of about 15,440 (218)

Calibration-free rolling shutter removal

2012 IEEE International Conference on Computational Photography (ICCP), 2012
We present a novel algorithm for efficient removal of rolling shutter distortions in uncalibrated streaming videos. Our proposed method is calibration free as it does not need any knowledge of the camera used, nor does it require calibration using specially recorded calibration sequences.
Matthias Grundmann, Vivek Kwatra, Daniel Castro, Irfan Essa   +3 more
openaire   +1 more source

Rolling Shutter Image Compensation

2007
This paper describes corrections to image distortion found on the Sony AIBO ERS-7 robots. When obtaining an image the camera captures each pixel in series, that is there is effectively a 'rolling shutter'. This results in a delay between the capture of the first and last pixel.
Steven P. Nicklin, Robin D. Fisher, Richard H. Middleton   +2 more
openaire   +1 more source

Automated rolling shutter calibration with an LED panel

Optics Letters, 2023
Cameras with rolling shutters (RSs) dominate consumer markets but are subject to distortions when capturing motion. Many methods have been proposed to mitigate RS distortions for applications such as vision-aided odometry and three-dimensional (3D) reconstruction. They usually need known line delay d between successive image rows.
Jianzhu Huai, Yuan Zhuang, Binliang Wang, Chongyang Zhang, Yuxin Shao, Jicheng Tang, Alper Yilmaz   +6 more
openaire   +2 more sources

HDR Recovery Under Rolling Shutter Distortions

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015
Preserving the high dynamic irradiance of a scene is essential for many computer vision algorithms. In this paper, we develop a technique for high dynamic range (HDR) reconstruction from differently exposed frames captured with CMOS cameras which use a rolling shutter (RS) to good effect for reducing power consumption.
Sheetal B. Gupta, A. N. Rajagopalan, Gunasekaran Seetharaman   +2 more
openaire   +1 more source

Degeneracies in Rolling Shutter SfM

2016
We address the problem of Structure from Motion (SfM) with rolling shutter cameras. We first show that many common camera configurations, e.g. cameras with parallel readout directions, become critical and allow for a large class of ambiguities in multi-view reconstruction.
Cenek Albl, Akihiro Sugimoto, Tomas Pajdla   +2 more
openaire   +1 more source

Unified Video Reconstruction for Rolling Shutter and Global Shutter Cameras

IEEE Transactions on Image Processing
Currently, the general domain of video reconstruction (VR) is fragmented into different shutters spanning global shutter and rolling shutter cameras. Despite rapid progress in the state-of-the-art, existing methods overwhelmingly follow shutter-specific paradigms and cannot conceptually generalize to other shutter types, hindering the uniformity of VR ...
Bin Fan, Zhexiong Wan, Boxin Shi, Chao Xu, Yuchao Dai   +4 more
openaire   +2 more sources

Going Unconstrained with Rolling Shutter Deblurring

2017 IEEE International Conference on Computer Vision (ICCV), 2017
Most present-day imaging devices are equipped with CMOS sensors. Motion blur is a common artifact in handheld cameras. Because CMOS sensors mostly employ a rolling shutter (RS), the motion deblurring problem takes on a new dimension. Although few works have recently addressed this problem, they suffer from many constraints including heavy computational
Mahesh Mohan M.R., A.N. Rajagopalan, Gunasekaran Seetharaman   +2 more
openaire   +1 more source

Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Bin Fan, Yuchao Dai
openaire   +1 more source

Shuffled Rolling Shutter Camera

2023
Esteban Vera, Felipe Guzman, Nelson Diaz
openaire   +1 more source

Vibration Extraction Using Rolling Shutter Cameras

2016
Measurements of vibrations, such as sound hitting an object or running a motor, are widely used in industry and research. Traditional methods need either direct contact with the object or a laser vibrometer. Although computer vision methods have been applied to solve this problem, high speed cameras are usually preferred.
openaire   +2 more sources