東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advanced procrustes analysis models ...

Crosilla, Fabio.

Linked to FindBook

Google Book

Amazon

博客來

Advanced procrustes analysis models in photogrammetric computer vision

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced procrustes analysis models in photogrammetric computer vision/ by Fabio Crosilla ... [et al.].
other author:	Crosilla, Fabio.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xi, 172 p. :ill., digital ;24 cm.
[NT 15003449]:	Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.
Contained By:	Springer eBooks
Subject:	Photogrammetry - Digital techniques. -
Online resource:	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

Advanced procrustes analysis models in photogrammetric computer vision
LDR:02180nmm a2200337 a 4500 001 2179913
003 DE-He213
005 20190905113213.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030117603 $q (electronic bk.)
020 $a 9783030117597 $q (paper)
024 7 $a 10.1007/978-3-030-11760-3 $2 doi
035 $a 978-3-030-11760-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA593
072 7 $a RGW $2 bicssc
072 7 $a TEC036000 $2 bisacsh
072 7 $a RGW $2 thema
082 0 4 $a 526.982 $2 23
090 $a TA593 $b .A244 2019
245 0 0 $a Advanced procrustes analysis models in photogrammetric computer vision $h [electronic resource] / $c by Fabio Crosilla ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 172 p. : $b ill., digital ; $c 24 cm.
490 1 $a CISM international centre for mechanical sciences, courses and lectures, $x 0254-1971 ; $v v.590
505 0 $a Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.
520 $a 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.
650 0 $a Photogrammetry $x Digital techniques. $3 625183
650 0 $a Computer vision. $3 540671
650 1 4 $a Remote Sensing/Photogrammetry. $3 890882
650 2 4 $a Image Processing and Computer Vision. $3 891070
700 1 $a Crosilla, Fabio. $3 3385493
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a CISM international centre for mechanical sciences, courses and lectures ; $v v.590. $3 3385494
856 4 0 $u https://doi.org/10.1007/978-3-030-11760-3
950 $a Engineering (Springer-11647)