Titlebook: Advanced Procrustes Analysis Models in Photogrammetric Computer Vision; Fabio Crosilla,Alberto Beinat,Domenico Visintini Book 2019 CISM In

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Advanced Procrustes Analysis Models in Photogrammetric Computer Vision978-3-030-11760-3Series ISSN 0254-1971 Series E-ISSN 2309-3706

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Bioinformatics and Translation Initiation,t squares (LS) Procrustes solutions find the transformation parameters between the two point sets assuming that all random errors are confined to the destination matrix ., whereas . is noise-free. However, this assumption is often unrealistic, since both . and . are corrupted by errors if they derive from measurements.

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Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

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0254-1971 ls are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods..978-3-030-11760-3Series ISSN 0254-1971 Series E-ISSN 2309-3706