Advanced Procrustes Analysis Models in Photogrammetric Computer Vision (Hardcover, 1st ed. 2019)

, , , ,
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.

R3,004

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles30040
Mobicred@R282pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 10 - 15 working days



Product Description

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.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

CISM International Centre for Mechanical Sciences, 590

Release date

March 2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Authors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

172

Edition

1st ed. 2019

ISBN-13

978-3-03-011759-7

Barcode

9783030117597

Categories

LSN

3-03-011759-6



Trending On Loot