Addressing problems such as obvious ghost, dislocation, and distortion resulting from the traditional stitching method, a novel drone image-stitching method is proposed using mesh-based local double-feature bundle adjustment and salient structure preservation which aims to obtain more natural panoramas.The proposed method is divided into the following steps. First, reducing parallax error is considered from both global and local aspects. Global bundle adjustment is introduced to minimize global transfer error, and then the local mesh-based feature-alignment model is incorporated into the optimization framework to achieve more accurate alignment. Considering the sensitivity of human eyes to linear structure, the global linear structure that runs through the images obtained by segment fusion is introduced to prevent distortions and align matching line segments better. Rectangular panoramas usually have better visual effects. Therefore, regular boundary constraint combined with mesh-based shape-preserving transform can make the results more natural while preserving mesh geometry. Two new evaluation metrics are also developed to quantify the performance of linear structure preservation and the alignment difference of matching line segments. Extensive experiments show that our proposed method can eliminate parallax and preserve global linear structures better than other state-of-the-art stitching methods and obtain more natural-looking stitching results.


    Access

    Download


    Export, share and cite



    Title :

    High Precision Mesh-Based Drone Image Stitching Based on Salient Structure Preservation and Regular Boundaries


    Contributors:
    Qiuze Yu (author) / Ruikai Wang (author) / Fanghong Liu (author) / Jinsheng Xiao (author) / Jiachun An (author) / Jin Liu (author)


    Publication date :

    2023




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Salient region preservation for image deformation

    Zhang, Y. / Lai, J. / Yuen, P.C. et al. | British Library Online Contents | 2014


    SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm

    Houssem R. E. H. Bouchekara / Bashir O Sadiq / Sikiru O Zakariyya et al. | DOAJ | 2022

    Free access

    THERMAL IMAGE BASED PRECISION DRONE LANDING SYSTEMS AND METHODS

    GANDIGA SANDEEP RAJ | European Patent Office | 2020

    Free access

    Thermal image based precision drone landing systems and methods

    GANDIGA SANDEEP RAJ | European Patent Office | 2021

    Free access

    THERMAL IMAGE BASED PRECISION DRONE LANDING SYSTEMS AND METHODS

    GANDIGA SANDEEP RAJ | European Patent Office | 2020

    Free access