Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Photogrammetric computer visionstati...
~
Forstner, Wolfgang.
Photogrammetric computer visionstatistics, geometry, orientation and reconstruction /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Photogrammetric computer visionby Wolfgang Forstner, Bernhard P. Wrobel.
Reminder of title:
statistics, geometry, orientation and reconstruction /
Author:
Forstner, Wolfgang.
other author:
Wrobel, Bernhard P.
Published:
Cham :Springer International Publishing :2016.
Description:
xvii, 816 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
PhotogrammetryDigital techniques.
Online resource:
http://dx.doi.org/10.1007/978-3-319-11550-4
ISBN:
9783319115504$q(electronic bk.)
Photogrammetric computer visionstatistics, geometry, orientation and reconstruction /
Forstner, Wolfgang.
Photogrammetric computer vision
statistics, geometry, orientation and reconstruction /[electronic resource] :by Wolfgang Forstner, Bernhard P. Wrobel. - Cham :Springer International Publishing :2016. - xvii, 816 p. :ill. (some col.), digital ;24 cm. - Geometry and computing,v.111866-6795 ;. - Geometry and computing ;7..
Introduction -- Tasks for Photogrammetric Computer Vision -- Modelling in Automated Photogrammetric Computer Vision -- Probability Theory and Random Variables -- Testing -- Estimation -- Homogeneous Representations of Points, Lines and Planes -- Transformations -- Geometric Operations -- Rotations -- Oriented Projective Geometry -- Reasoning with Uncertain Geometric Entities -- Orientation and Reconstruction -- Bundle Adjustment -- Surface Reconstruction from Point Clouds -- References -- Index.
This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.
ISBN: 9783319115504$q(electronic bk.)
Standard No.: 10.1007/978-3-319-11550-4doiSubjects--Topical Terms:
274520
Photogrammetry
--Digital techniques.
LC Class. No.: TA593
Dewey Class. No.: 526.982
Photogrammetric computer visionstatistics, geometry, orientation and reconstruction /
LDR
:03566nmm a2200325 a 4500
001
498427
003
DE-He213
005
20161004043306.0
006
m d
007
cr nn 008maaau
008
170511s2016 gw s 0 eng d
020
$a
9783319115504$q(electronic bk.)
020
$a
9783319115498$q(paper)
024
7
$a
10.1007/978-3-319-11550-4
$2
doi
035
$a
978-3-319-11550-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA593
072
7
$a
UYQV
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
082
0 4
$a
526.982
$2
23
090
$a
TA593
$b
.F734 2016
100
1
$a
Forstner, Wolfgang.
$3
761561
245
1 0
$a
Photogrammetric computer vision
$h
[electronic resource] :
$b
statistics, geometry, orientation and reconstruction /
$c
by Wolfgang Forstner, Bernhard P. Wrobel.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xvii, 816 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Geometry and computing,
$x
1866-6795 ;
$v
v.11
505
0
$a
Introduction -- Tasks for Photogrammetric Computer Vision -- Modelling in Automated Photogrammetric Computer Vision -- Probability Theory and Random Variables -- Testing -- Estimation -- Homogeneous Representations of Points, Lines and Planes -- Transformations -- Geometric Operations -- Rotations -- Oriented Projective Geometry -- Reasoning with Uncertain Geometric Entities -- Orientation and Reconstruction -- Bundle Adjustment -- Surface Reconstruction from Point Clouds -- References -- Index.
520
$a
This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision. Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.
650
0
$a
Photogrammetry
$x
Digital techniques.
$3
274520
650
0
$a
Computer vision.
$3
200113
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
274492
650
2 4
$a
Remote Sensing/Photogrammetry.
$3
274522
650
2 4
$a
Geometry.
$3
183883
700
1
$a
Wrobel, Bernhard P.
$3
761562
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Geometry and computing ;
$v
7.
$3
560055
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-11550-4
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000133862
電子館藏
1圖書
電子書
EB TA593 F734 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-11550-4
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login