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3D Modeling of Buildings: Outstanding Sites [Kietas viršelis]

(Ecole Nationale des Sciences Géographiques, Marne-la-Vallée, France), (Ecole Nationale des Sciences Géographiques, Marne-la-Vallée, France)
  • Formatas: Hardback, 224 pages, aukštis x plotis x storis: 241x163x23 mm, weight: 490 g
  • Išleidimo metai: 04-Jul-2014
  • Leidėjas: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1848215363
  • ISBN-13: 9781848215368
Kitos knygos pagal šią temą:
3D Modeling of Buildings: Outstanding SitesDidesnis paveikslėlis
  • Formatas: Hardback, 224 pages, aukštis x plotis x storis: 241x163x23 mm, weight: 490 g
  • Išleidimo metai: 04-Jul-2014
  • Leidėjas: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1848215363
  • ISBN-13: 9781848215368
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9781848215368.html
Raktažodžiai:

Conventional topographic databases, obtained by capture on aerial or spatial images provide a simplified 3D modeling of our urban environment, answering the needs of numerous applications (development, risk prevention, mobility management, etc.). However, when we have to represent and analyze more complex sites (monuments, civil engineering works, archeological sites, etc.), these models no longer suffice and other acquisition and processing means have to be implemented. This book focuses on the study of adapted lifting means for “notable buildings”. The methods tackled in this book cover lasergrammetry and the current techniques of dense correlation based on images using conventional photogrammetry.

Acknowledgments xi
Introduction xiii
Chapter 1 Specific Requirements For The 3D Digitization Of Outstanding Sites 1(20)
1.1 The current offer for high-resolution 3D data
1(3)
1.2 Statement of requirements
4(4)
1.2.1 Potentials
4(2)
1.2.2 Conversion into building specifications
6(1)
1.2.3 Technical survey specifications
7(1)
1.3 Existing surveying methods
8(4)
1.3.1 Existing acquisition methods
8(1)
1.3.2 Example surveys
9(3)
1.3.3 Survey control data
12(1)
1.4 From building specifications to realization
12(6)
1.4.1 Reconnaissance stage
12(3)
1.4.2 Acquisition
15(1)
1.4.3 Processing of data
16(2)
1.5 Bibliography
18(3)
Chapter 2 3D Digitization Using Images 21(64)
2.1 History in France
21(2)
2.2 Equipment
23(10)
2.2.1 Equipment through the years
23(2)
2.2.2 Modernization of equipment
25(1)
2.2.3 Cameras
26(2)
2.2.4 How do you measure with a camera?
28(5)
2.3 Image acquisition
33(15)
2.3.1 Characteristics of the images
33(3)
2.3.2 Traditional stereoscopic image survey
36(2)
2.3.3 Stereoscopic image surveying for the automatic production of 3D point clouds
38(5)
2.3.4 Surveying devices
43(5)
2.3.5 Survey control data
48(1)
2.4 Image orientation
48(9)
2.4.1 Principles
48(4)
2.4.2 Automation
52(3)
2.4.3 Strategies for the orientation of all the images of a site
55(2)
2.4.4 Qualifying the orientation of images
57(1)
2.5 Production of 3D point clouds from images
57(12)
2.5.1 Definition and use of 3D point clouds
57(1)
2.5.2 Principle for the production of 3D point clouds by dense image matching
58(5)
2.5.3 Optimization
63(3)
2.5.4 Qualification of data produced
66(2)
2.5.5 Advantages and limits
68(1)
2.5.6 Other approaches to automatic image-based 3D reconstruction
68(1)
2.6 3D drawing by stereo or multi-image plotting
69(5)
2.6.1 Definition and use of 3D drawing
69(1)
2.6.2 Principle of the production of a 3D drawing
70(2)
2.6.3 Qualification of 3D drawing
72(2)
2.7 The software offer in close-range photogrammetry
74(1)
2.8 Research prospects
74(2)
2.8.1 Production in near-real time
74(1)
2.8.2 Data crowdsourcing
75(1)
2.8.3 Automatic reconstruction of 3D vector models using images
75(1)
2.9 Bibliography
76(9)
Chapter 3 3D Digitization By Laser Scanner 85(40)
3.1 History
85(2)
3.2 Equipment
87(13)
3.2.1 How a terrestrial laser scanner works
87(1)
3.2.2 Various families of laser technology
88(3)
3.2.3 Characteristics of terrestrial laser scanners
91(4)
3.2.4 Errors affecting measurement and calibration
95(4)
3.2.5 The main manufacturers
99(1)
3.2.6 Instances of use
99(1)
3.3 Acquisition by lasergrammetry
100(10)
3.3.1 Survey design
101(1)
3.3.2 Requirements for control points
102(4)
3.3.3 Practical realization
106(1)
3.3.4 Advantages and limits of this technology
107(1)
3.3.5 Linking of external photographs
108(2)
3.4 Registration of laser stations
110(8)
3.4.1 Principle of the different registration strategies
110(3)
3.4.2 Automation of all or part of the registration phase
113(2)
3.4.3 Qualification of the registration of laser stations
115(2)
3.4.4 Exporting registered laser point clouds
117(1)
3.5 Qualification of the point clouds obtained
118(2)
3.5.1 Geometric quality
118(1)
3.5.2 Radiometric quality
119(1)
3.5.3 Other elements of quality
120(1)
3.6 Bibliography
120(5)
Chapter 4 Complementarity Of Techniques 125(8)
4.1 Introduction
125(1)
4.2 Comparison of techniques
125(2)
4.2.1 Data acquisition in the field
125(1)
4.2.2 Quality of data
126(1)
4.2.3 Data processing
127(1)
4.3 Example of the survey of Amiens Cathedral
127(3)
4.3.1 Proposed surveying methodology: lasergrammetry for the framework, complemented by photogrammetry
128(1)
4.3.2 Georeferencing of data
129(1)
4.3.3 Completeness of the survey
130(1)
4.4 Bibliography
130(3)
Chapter 5 Point Cloud Processing 133(50)
5.1 Visualization and organization of 3D point clouds
134(9)
5.1.1 Ways of visualizing point clouds
134(6)
5.1.2 Organization of point clouds
140(3)
5.2 Preprocessing of the point clouds
143(10)
5.2.1 Denoising and filtering
143(2)
5.2.2 Merging of data
145(2)
5.2.3 Subsampling, resampling and compression of point clouds
147(2)
5.2.4 Segmentation
149(4)
5.3 From the point cloud to the 3D geometric model
153(13)
5.3.1 Types of 3D models
153(1)
5.3.2 Modeling in a 3D point cloud
154(4)
5.3.3 Surface meshing
158(3)
5.3.4 Automatic reconstruction
161(2)
5.3.5 Combining laser point cloud with images
163(1)
5.3.6 Texturing
164(2)
5.3.7 Qualification of geometric models
166(1)
5.4 By-products
166(7)
5.4.1 Line drawings
166(3)
5.4.2 Production of orthoimages
169(3)
5.4.3 Other image products
172(1)
5.5 Bibliography
173(10)
Chapter 6 Management And Use Of Surveys 183(12)
6.1 Introduction
183(1)
6.2 Managing data conservation
184(5)
6.2.1 Backup methods
184(1)
6.2.2 Semantic enhancement of geometric data
185(1)
6.2.3 Standardization
186(3)
6.2.4 Responsibility and support for data conservation
189(1)
6.3 Diffusion of data
189(4)
6.3.1 Expected functionalities
189(1)
6.3.2 GIS
190(1)
6.3.3 Web platforms
191(2)
6.4 Bibliography
193(2)
Conclusion 195(2)
Index 197
Raphaėle Héno is head of a teaching department at ENSG in France. His work involves architectural surveying using photogrammetry and lasergrammetry.

Laure Chandelier is in charge of projects in satellite imaging and geographical information systems at Cerema in France. She works on the extraction of information from remote data.