Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

High-Definition Video Image Mosaics in Real-Time Based on Adaptive H-SIFT

Authors
Xiaowei Han, Zhiyong Wang, Wenjun Yang
Corresponding Author
Xiaowei Han
Available Online June 2017.
DOI
https://doi.org/10.2991/icmia-17.2017.134How to use a DOI?
Keywords
video mosaic; image mosaic; real-time mosaic; adaptive;SIFT algorithm
Abstract
High definition video image mosaic technology has been widely used in various fields, with high accuracy and good real-time performance. Based on the research of video image mosaic algorithm which based on SIFT, a new H-SIFT image mosaic algorithm is proposed, which is suitable for real-time mosaic of high definition video images. On the basis of the SIFT high precision registration algorithm, The algorithm can automatically recognize the image size and process it, and the stitching speed is improved while the quality of high-definition video images is guaranteed. Experimental tests and verify the effectiveness of the H-SIFT algorithm.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.134How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaowei Han
AU  - Zhiyong Wang
AU  - Wenjun Yang
PY  - 2017/06
DA  - 2017/06
TI  - High-Definition Video Image Mosaics in Real-Time Based on Adaptive H-SIFT
BT  - 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 744
EP  - 747
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.134
DO  - https://doi.org/10.2991/icmia-17.2017.134
ID  - Han2017/06
ER  -