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Advanced procrustes analysis models ...

Crosilla, Fabio.

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Advanced procrustes analysis models in photogrammetric computer vision

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced procrustes analysis models in photogrammetric computer vision/ by Fabio Crosilla ... [et al.].
其他作者:	Crosilla, Fabio.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 172 p. :ill., digital ;24 cm.
內容註:	Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.
Contained By:	Springer eBooks
標題:	Photogrammetry - Digital techniques. -
電子資源:	https://doi.org/10.1007/978-3-030-11760-3
ISBN:	9783030117603

Advanced procrustes analysis models in photogrammetric computer vision
Advanced procrustes analysis models in photogrammetric computer vision[electronic resource] /by Fabio Crosilla ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 172 p. :ill., digital ;24 cm. - CISM international centre for mechanical sciences, courses and lectures,v.5900254-1971 ;. - CISM international centre for mechanical sciences, courses and lectures ;v.590..

Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.

This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models 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.

ISBN: 9783030117603

Standard No.: 10.1007/978-3-030-11760-3doiSubjects--Topical Terms:

625183
Photogrammetry
--Digital techniques.

LC Class. No.: TA593

Dewey Class. No.: 526.982

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