3D motion and scene structure estimation with motion dependent distortion of measurement windows

We present a two stage technique for estimation of rigid body motion and scene structure from monocular image sequences. The robustness of motion recovery is considerably increased by motion dependent distortion of rectangular measurement windows. In the first stage, we estimate a set of candidate motion parameter sets from which the optimum is determined in a second step evaluating motion based image content deformation together with corresponding depth values. Experimental results show that the motion parameter estimation error can be reduced significantly.

[1]  Bernd Girod,et al.  Image sequence coding using 3D scene models , 1994, Other Conferences.

[2]  Bernd Girod,et al.  Estimation of rigid body motion and scene structure from image sequences using a novel epipolar transform , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[3]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Jake K. Aggarwal,et al.  On the computation of motion from sequences of images-A review , 1988, Proc. IEEE.