@article{MAKHILLAJIT2007675423,
    title = {S3D Motion Estimation Based on 2D Motion Field Using Neural Networks},
    journal = {Asian Journal of Information Technology},
    volume = {6},
    number = {7},
    pages = {839-841},
    year = {2007},
    issn = {1682-3915},
    doi = {ajit.2007.839.841},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2007.839.841},
    author = {Yunhua Zhang,Yaming Wang,Sun Li and},
    keywords = {Computer vision,motion estimation,2D motion fields,neural networks},
    abstract = {This study uses neural networks to estimate three-Dimensional (3D) rigid motion parameters based on two-Dimensional (2D) motion fields. The motion fields are computed from image sequences. The neural networks update their weights by Newton-Raphson procedure for minimizing the error measures. Experimental results are presented for validating the proposed approach.}
    }