Uncertainty-driven, point-based image registration

Handbook of Mathematical Models in Computer Vision

Volumn , Issue , 2006, Pages 221-235

  Stewart, C ^a  

^a Rensselaer Polytechnic Institute   (United States)

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EID: 41949138861     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/0-387-28831-7_14     Document Type: Chapter

References (2)

1. See [576] for a recent generalization to second-order approximations.
2. Planar homographies may not be written in this form because side constraints must be imposed on the parameter vector. Different derivations of the estimation equations and covariance matrices are needed, combining the normal-distance form of (14.6) with the covariance derivations in [389, Ch. 4].