Watada, J. and Zhang, H. and Melo, H. and Wang, J. and Vasant, P. (2018) SURF algorithm-based panoramic image mosaic application. Smart Innovation, Systems and Technologies, 81. pp. 349-358.
Full text not available from this repository.Abstract
Panoramic image mosaic is a technology to match a series of images which are overlapped with each other. Panoramic image mosaics can be used for different applications. Image mosaic has important values in various applications such as computer vision, remote sensing image processing, medical image analysis and computer graphics. Image mosaics also can be used in moving object detection with a dynamic camera. After getting the panoramic background of the video for detection, we can compare every frame in the video with the panoramic background, and finally detect the moving object. To build the image mosaic, SURF (Speeded Up Robust Feature) algorithm is used in feature detection and OpenCV is used in the programming. Because of special optimization in image fusion, the result becomes stable and smooth. © Springer International Publishing AG 2018.
Item Type: | Article |
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Impact Factor: | cited By 0; Conference of 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 ; Conference Date: 12 August 2017 Through 15 August 2017; Conference Code:195379 |
Uncontrolled Keywords: | Computer graphics; Image fusion; Image processing; Image reconstruction; Medical imaging; Object detection; Optimization; Remote sensing; Signal processing; Stitching (metal joining), Feature detection; Feature point; Moving-object detection; Panorama; Remote sensing image processing; Speeded up robust features; SURF; Video frame, Multimedia signal processing |
Departments / MOR / COE: | Research Institutes > Institute for Autonomous Systems |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 01 Aug 2018 01:12 |
Last Modified: | 20 Feb 2019 01:56 |
URI: | http://scholars.utp.edu.my/id/eprint/21943 |