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Parallax-tolerant 360 live video stitcher

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Parallax-tolerant 360 live video stitcher. / Atokari, Miko; Viitanen, Marko; Mercat, Alexandre; Kattainen, Emil; Vanne, Jarno.

2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Atokari, M, Viitanen, M, Mercat, A, Kattainen, E & Vanne, J 2019, Parallax-tolerant 360 live video stitcher. in 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, VISUAL COMMUNICATIONS AND IMAGE PROCESSING, 1/01/00. https://doi.org/10.1109/VCIP47243.2019.8965900

APA

Atokari, M., Viitanen, M., Mercat, A., Kattainen, E., & Vanne, J. (2019). Parallax-tolerant 360 live video stitcher. In 2019 IEEE Visual Communications and Image Processing (VCIP) IEEE. https://doi.org/10.1109/VCIP47243.2019.8965900

Vancouver

Atokari M, Viitanen M, Mercat A, Kattainen E, Vanne J. Parallax-tolerant 360 live video stitcher. In 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE. 2019 https://doi.org/10.1109/VCIP47243.2019.8965900

Author

Atokari, Miko ; Viitanen, Marko ; Mercat, Alexandre ; Kattainen, Emil ; Vanne, Jarno. / Parallax-tolerant 360 live video stitcher. 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019.

Bibtex - Download

@inproceedings{c86173aab7174d5eb7285945cc724a2e,
title = "Parallax-tolerant 360 live video stitcher",
abstract = "This paper presents an open-source software implementation for real-time 360-degree video stitching. To ensure a seamless stitching result, cylindrical and content-preserving warping are implemented to dynamically correct image alignment and parallax, which may drift due to scene changes, moving objects, or camera movement. Depth variation, color changes, and lighting differences between adjacent frames are also smoothed out to improve visual quality of the panoramic video. The system is benchmarked with six 1080p videos, which are stitched into 4096×732 pixel output format. The proposed algorithm attains an output rate of 18 frames per second on GeForce GTX 1070 GPU and real-time speed can be met with a high-end GPU.",
author = "Miko Atokari and Marko Viitanen and Alexandre Mercat and Emil Kattainen and Jarno Vanne",
note = "INT=comp,{"}Atokari, Miko{"} INT=comp,{"}Kattainen, Emil{"}",
year = "2019",
month = "12",
day = "1",
doi = "10.1109/VCIP47243.2019.8965900",
language = "English",
booktitle = "2019 IEEE Visual Communications and Image Processing (VCIP)",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Parallax-tolerant 360 live video stitcher

AU - Atokari, Miko

AU - Viitanen, Marko

AU - Mercat, Alexandre

AU - Kattainen, Emil

AU - Vanne, Jarno

N1 - INT=comp,"Atokari, Miko" INT=comp,"Kattainen, Emil"

PY - 2019/12/1

Y1 - 2019/12/1

N2 - This paper presents an open-source software implementation for real-time 360-degree video stitching. To ensure a seamless stitching result, cylindrical and content-preserving warping are implemented to dynamically correct image alignment and parallax, which may drift due to scene changes, moving objects, or camera movement. Depth variation, color changes, and lighting differences between adjacent frames are also smoothed out to improve visual quality of the panoramic video. The system is benchmarked with six 1080p videos, which are stitched into 4096×732 pixel output format. The proposed algorithm attains an output rate of 18 frames per second on GeForce GTX 1070 GPU and real-time speed can be met with a high-end GPU.

AB - This paper presents an open-source software implementation for real-time 360-degree video stitching. To ensure a seamless stitching result, cylindrical and content-preserving warping are implemented to dynamically correct image alignment and parallax, which may drift due to scene changes, moving objects, or camera movement. Depth variation, color changes, and lighting differences between adjacent frames are also smoothed out to improve visual quality of the panoramic video. The system is benchmarked with six 1080p videos, which are stitched into 4096×732 pixel output format. The proposed algorithm attains an output rate of 18 frames per second on GeForce GTX 1070 GPU and real-time speed can be met with a high-end GPU.

U2 - 10.1109/VCIP47243.2019.8965900

DO - 10.1109/VCIP47243.2019.8965900

M3 - Conference contribution

BT - 2019 IEEE Visual Communications and Image Processing (VCIP)

PB - IEEE

ER -