Title :
A Bayesian view on matching and motion estimation
Author_Institution :
Electr. Eng. Dept. (ISY), Linkoping Univ., Linkoping, Sweden
Abstract :
This paper formulates the problem of estimating motion or geometric transforms between images in a Bayesian manner, stressing the relation between continuous and discrete formulations and emphasizing the necessity to employ stochastic distributions on function spaces.
Keywords :
Bayes methods; image matching; motion estimation; stochastic processes; transforms; Bayesian estimation; function spaces; geometric transforms; image matching; motion estimation; stochastic distributions; Computational modeling; Density measurement; Estimation; Joints; Mathematical model; Optical imaging; Transforms; Bayesian estimation; image sequences; motion; statistical model; stochastic function spaces;
Conference_Titel :
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-1-4673-1831-0
Electronic_ISBN :
978-1-4673-1829-7
DOI :
10.1109/SSIAI.2012.6202487
