In order to effectively extract the feature points of mobile network animation images and accurately reflect the main content of the video, an optimization method to extract the feature points of key frame images of mobile network animation is proposed. Firstly, the key frames are selected according to the content change degree of the animation video. The scale invariant feature transformation algorithm is used to describe the feature points of the key frame image of the animation video. The local feature points of the image are estimated by the constraint optimization method to realize the optimization extraction of the feature points of the key frame image of the mobile network animation. The efficiency of feature points extraction is analyzed from the number and effectiveness of feature points extraction, time-consuming and similarity invariance of feature points. The experimental results show that the proposed method has excellent adaptability, and can effectively extract feature points of mobile network animation image.


    Access

    Download


    Export, share and cite



    Lipreadable Frame Animation Driven by Speech Parameters

    Lavagetto, F. / Arzarello, D. / Caranzano, M. et al. | British Library Conference Proceedings | 1994


    Image Dehazing Network Based on Multi-scale Feature Extraction

    Feng, Ting / Zhang, Fuquan / Yu, Zhaochai et al. | Springer Verlag | 2021


    Image Dehazing Network Based on Multi-scale Feature Extraction

    Feng, Ting / Zhang, Fuquan / Yu, Zhaochai et al. | TIBKAT | 2022


    Animation for network dynamics

    Appel, A. / Evangelisti, C.J. / Stein, A.J. | Tema Archive | 1982


    REVIEW OF IMAGE FEATURE POINTS DETECTION ALGORITHMS

    Ja. A. Kadurin / M. K. Savkin | DOAJ | 2018

    Free access