International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
A novel approach to 3-D motion estimation of elastic body from monocular image sequence is proposed in this paper. First, with the establishment of feature point correspondence between consecutive image frames, the affine motion model and the central projection model are presented for local elastic motion. Then, in order to obtain the global motion parameters and overcome the ill-posed 3-D estimation problem, a framework of Markov Random Field (MRF) with entropic constraints is proposed. By incorporating the motion prior constraints into the MRF, the motion smoothness feature between local regions is reflected. This converts the ill-posed problem into a well-posed one and guarantees the robust solution. Experimental results from a sequence of synthetic image sequence demonstrate the feasibility of the proposed approach.
How to cite this article:
Yunhua Zhang , Yaming Wang and Wenqing Huang . 3-D Motion Estimation of Elastic Body from Monocular Image Sequenc Using MRF with Entropic Constraints.
DOI: https://doi.org/10.36478/ijscomp.2006.128.132
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2006.128.132