Congruence, similarity and symmetries of geometric objects
Discrete & Computational Geometry - ACM Symposium on Computational Geometry, Waterloo
Bayesian Estimation of Motion Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Digital image processing (3rd ed.): concepts, algorithms, and scientific applications
Signal Processing - Video segmentation for content-based processing manipulation
Dense motion estimation using regularization constraints on local parametric models
IEEE Transactions on Image Processing
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In this paper, we proposed a randomised algorithm to estimate the motion parameters of a planar shape without knowing a priori point-to-point correspondences. By randomly searching points on two shapes measured at different times, we determine the centroids, after which the algorithm proceeds to determine the rotation by searching points on each shape that form congruent polygons.