TY  - JOUR
T1  - S3D Motion Estimation Based on 2D Motion Field Using Neural Networks
AU - , Yunhua Zhang AU - , Yaming Wang AU - , Sun Li AU - , Wenqing Huang 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 7
SP  - 839
EP  - 841
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.839.841
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.839.841
KW  - Computer vision
KW  -motion estimation
KW  -2D motion fields
KW  -neural networks
AB  - 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.
ER  -