Affine models for image matching and motion detection

Fuh, C; Maragos, P

dc.contributor.author	Fuh, C	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:47:56Z
dc.date.available	2014-03-01T02:47:56Z
dc.date.issued	1991	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33447
dc.subject	Affine Transformation	en
dc.subject	Block Matching	en
dc.subject	Image Matching	en
dc.subject	Image Sequence	en
dc.subject	Least Square	en
dc.subject	Matching Model	en
dc.subject	Motion Detection	en
dc.subject	Motion Estimation	en
dc.subject	Rigid Body Motion	en
dc.subject	Shape Deformation	en
dc.title	Affine models for image matching and motion detection	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1991.150878	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1991.150878	en
heal.publicationDate	1991	en
heal.abstract	A model is developed for detecting the displacement field in spatiotemporal image sequences. It allows for affine shape deformations of corresponding spatial regions and for affine transformations of the image intensity range. The model includes the block matching method as a special case. A least-squares algorithm is used to find the model parameters. It is experimentally demonstrated that the affine	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1991.150878	en