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1. Rigid 3-D motion estimation using neural networks and initially estimated 2-D motion data
Tzovaras, D.; Ploskas, N.; Strintizis, M.G.;
Circuits and Systems for Video Technology, IEEE Transactions on
Volume 10,  Issue 1,  Feb. 2000 Page(s):158 - 165
Abstract:

This paper extends a known efficient technique for rigid three-dimensional (3-D) motion estimation so as to make it applicable to motion estimation problems occuring in image sequence coding applications. The known technique estimates 3-D motion using previously evaluated 3-D correspondence. However, in image sequence coding applications, 3-D correspondence is unknown and usually only two-dimensional (2-D) motion vectors are initially available. The novel neural network (NN) introduced in this paper uses initially estimated 2-D motion vectors to estimate 3-D rigid motion, and is therefore suitable for image sequence coding applications. Moreover, it is shown that the NN introduced in this paper performs extremely well even in cases where 3-D correspondence is known with accuracy. Experimental results are presented for the evaluation of the proposed scheme
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