<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to determine the common points between two adjacent images; then, the linear slope constraint model is used to filter the mismatching point-pairs; finally, the RANSAC algorithm is adopted to remove outer points from the common points to ensure matching precision of inter frames. To accommodate the real time requirement of UAV application, a parallel data processing pattern is presented. The multi-core resources and multi-thread computing method of computers are employed adequately in the new pattern to speed up the whole algorithm. Extensive experiments on precision and time consumption show the superior performance of the proposed algorithm</p>
</abstract>

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to determine the common points between two adjacent images; then, the linear slope constraint model is used to filter the mismatching point-pairs; finally, the RANSAC algorithm is adopted to remove outer points from the common points to ensure matching precision of inter frames. To accommodate the real time requirement of UAV application, a parallel data processing pattern is presented. The multi-core resources and multi-thread computing method of computers are employed adequately in the new pattern to speed up the whole algorithm. Extensive experiments on precision and time consumption show the superior performance of the proposed algorithm

Three-Step Registration And Multi-Thread Processing Based Image Mosaic For Unmanned Aerial Vehicle Applications

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention....

Three-Step Registration And Multi-Thread Processing Based Image Mosaic For Unmanned Aerial Vehicle Applications

Online veröffentlicht: 01. Juni 2016

Seitenbereich: 1090 - 1109

Eingereicht: 30. Nov. 2015

Akzeptiert: 02. Apr. 2016

DOI: https://doi.org/10.21307/ijssis-2017-909

Schlüsselwörter
UAV, image mosaic, image registration, multi-thread processing

© 2016 Hongguang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Three-Step Registration And Multi-Thread Processing Based Image Mosaic For Unmanned Aerial Vehicle Applications

Online veröffentlicht: 01. Juni 2016

Seitenbereich: 1090 - 1109

Eingereicht: 30. Nov. 2015

Akzeptiert: 02. Apr. 2016

DOI: https://doi.org/10.21307/ijssis-2017-909

SchlüsselwörterUAV, image mosaic, image registration, multi-thread processing

© 2016 Hongguang Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
UAV, image mosaic, image registration, multi-thread processing