Total least squares estimation of stereo optical flow

We propose a new method for disparity assisted stereo optical flow estimation. This method is based on the linearization of the round-about compatibility constraint, which converts a stereo optical flow estimation problem to a single channel optical flow estimation problem. An over-determined system of optical flow equations can then be constructed for estimating the flow fields. The total least squares, instead of the traditional least squares is used to solve the estimation problem. We also investigate the extension of the locally constant flow model across the time domain. The experiments presented demonstrate that the proposed technique performs very well.

[1]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[2]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[3]  Victor Solo,et al.  Errors-in-variables modelling in optical flow problems , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[4]  Nikolas P. Galatsanos,et al.  Regularized constrained total least-squares image restoration , 1994, Other Conferences.

[5]  Ahmed Tamtaoui,et al.  Constrained disparity and motion estimators for 3DTV image sequence coding , 1991, Signal Process. Image Commun..

[6]  Sabine Van Huffel,et al.  The total least squares problem , 1993 .

[7]  Aggelos K. Katsaggelos,et al.  Optical-flow estimation for multichannel video sequences , 1997, Electronic Imaging.

[8]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[9]  Vishal Markandey,et al.  Total least squares fitting spatiotemporal derivatives to smooth optical flow fields , 1992, Defense, Security, and Sensing.