EURASIP Journal on Advances in Signal Processing
Variational Multi-Valued Velocity Field Estimation for Transparent Sequences
Journal of Mathematical Imaging and Vision
Multiresolution parametric estimation of transparent motions and denoising of fluoroscopic images
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Motion-based segmentation of transparent layers in video sequences
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Dealing with multiple motions in optical flow estimation
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Multi-layer deformation estimation for fluoroscopic imaging
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
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Motion transparency phenomena in image sequences are frequent, but classical methods of motion estimation are unable to deal with them. This paper describes a method for estimating optical flow by a generalization of the brightness constancy assumption to additive transparencies. The brightness constancy assumption is obtained by setting constant velocity fields during three images of a sequence. Thus, by a Taylor development to its second order, we reach an extension of the optical flow constraint equation. Since the equation is nonlinear, the Levenberg-Marquardt algorithm is used. In order to suppress the unavoidable aperture problem, a global model based on B-spline basis functions is applied with the aim of constraining optical flows. This description of motion allows us to work on a coarse to fine estimation of artificial image sequences that shows good convergence properties. It is also applied to natural image sequences.