Asian Journal of Information Technology
ISSN: Online 1993-5994ISSN: Print 1682-3915
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.
How to cite this article:
Yunhua Zhang , Yaming Wang , Sun Li and Wenqing Huang . S3D Motion Estimation Based on 2D Motion Field Using Neural Networks.
DOI: https://doi.org/10.36478/ajit.2007.839.841
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2007.839.841