Textured 3D Models | Automatic Reconstruction of 3D Models from a Sequance of Calibrated Images

Hatem Ibrahim Mahmoud Rashwan

ISBN 10: 3846545678 / ISBN 13: 9783846545676

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Textured 3D Models | Automatic Reconstruction of 3D Models from a Sequance of Calibrated Images | Hatem Ibrahim Mahmoud Rashwan | Taschenbuch | 132 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846545676 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106724547

Bibliographic Details

• Title: Textured 3D Models | Automatic Reconstruction of 3D Models from a Sequance of Calibrated Images
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3846545678
• ISBN 13: 9783846545676
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 215 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A vision–based 3D scene analysis system is described that is capable to model complex real–world scenes like old building, bridges and vestiges automatically from a sequence of calibrated images. Input to the system is a sequence of calibrated stereoscopic images which can be taken with a hand held camera. The camera is then moved throughout the scene and a long sequence of closely spaced views is recorded. A multi-view algorithm is used to link the corresponding points along a sequence of images. 3D model is reconstructed using triangulation directly from the image sequence, which allows fusing 3D surface measurements from different viewpoints into a consistent 3D model scene using a Kalman filter. The surface geometry of each scene object is approximated by a triangular surface mesh which stores the surface texture in a texture map. From the textured 3D models, realistic looking image sequences from arbitrary view points can be used in many applications. We demonstrate the successful application of the approach to several outdoor image sequences for some famous Egyptian vestiges in a framework that aims to electronically document Egypt’s cultural and natural heritage.

About the Author

Hatem received B.S. and M.Sc degrees, South Valley University, Egypt 2002 and 2007 respectively. From 2004 to 2009, he joined to Elec. Eng. Dept. Faculty of Eng. in South Valley Uni, Egypt. In 2010, he joined the IRCV Group at Rovira i Virgili Uni as PhD student. His research interests include image processing, computer vision and machine learning.