Guided-MLESAC: faster image transform estimation by using matching priors.

Guided-MLESAC: faster image transform estimation by using matching priors.

MLESAC is an established algorithm for maximum-likelihood estimation by random sampling consensus, devised for computing multiview entities like the fundamental matrix from correspondences between image features. A shortcoming of the method is that it assumes that little is known about the prior pro...

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Autors principals:	Tordoff, B, Murray, D
Format:	Journal article
Idioma:	English
Publicat:	2005

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