Applied Close-Range Photogrammetry in Construction | For 3D Modeling, Quantity Surveying, and Augmented Reality

Fei Dai (u. a.)

ISBN 10: 3844322868 / ISBN 13: 9783844322866

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Applied Close-Range Photogrammetry in Construction | For 3D Modeling, Quantity Surveying, and Augmented Reality | Fei Dai (u. a.) | Taschenbuch | 112 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844322866 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 107058812

Bibliographic Details

• Title: Applied Close-Range Photogrammetry in Construction | For 3D Modeling, Quantity Surveying, and Augmented Reality
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844322868
• ISBN 13: 9783844322866
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 185 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

On construction sites, the digital photos have been routinely applied for project management, such as documentation of daily activities and provision of visual aids for better communication. With the advance of the surveying technique of close-range photogrammetry, information from the two-dimensional (2D) digital images can be extracted to construct three-dimensional (3D) knowledge, which is of great assistance for site engineers, for example, to sketch profiles of site elements, measure structure geometric dimensions, and track progress states of an ongoing product. For the benefit of construction professionals who are interested in utilizing or developing close-range photogrammetry, this book introduces the fundamentals of this technique and applies it to analytically 1) model 3D construction site elements by point and shoot photography, 2) measure the geometric dimensions of building products, and 3) augment site photos with 3D graphics of underground facilities for better quality investigation and progress visualization of infrastructure construction.

About the Author

Fei Dai obtained his PhD in Construction Engineering & Management from the Hong Kong Polytechnic Univ. in 2010. Now he is a Postdoctoral Fellow at the Georgia Institute of Technology. Ming Lu is the Associate Professor of Construction Engineering & Management in the Department of Civil & Environmental Engineering, Univ. of Alberta, Canada.