Panoramic image mosaic based on SURF algorithm using OpenCV

Jiaxi Wang, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    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 photogrammetry, 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.

    Original languageEnglish
    Title of host publicationWISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781479972524
    DOIs
    Publication statusPublished - 2015 Jun 29
    Event9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015 - Siena, Italy
    Duration: 2015 May 152015 May 17

    Other

    Other9th IEEE International Symposium on Intelligent Signal Processing, WISP 2015
    CountryItaly
    CitySiena
    Period15/5/1515/5/17

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    ASJC Scopus subject areas

    • Artificial Intelligence
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Wang, J., & Watada, J. (2015). Panoramic image mosaic based on SURF algorithm using OpenCV. In WISP 2015 - IEEE International Symposium on Intelligent Signal Processing, Proceedings [7139183] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WISP.2015.7139183