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Texturizing and Refinement of 3D City Models with Mobile Devices

Gutbell, Ralf ; Kuehnel, Hannes ; Kuijper, Arjan (2017):
Texturizing and Refinement of 3D City Models with Mobile Devices.
In: Advanced Concepts for Intelligent Vision Systems : Proceedings, pp. 313-324,
Berlin, Springer, ACIVS 2017 : 18th International Conference, Antwerp, Belgium, September 18-21, 2017, ISBN Print ISBN 978-3-319-70352-7 Online ISBN 978-3-319-70353-4,
DOI: 10.1007/978-3-319-70353-4_27,
[Conference or Workshop Item]

Abstract

Building recognition from images and video streams of mobile devices to texturize and refine an existing 3D city model is an open challenge, since such models most often do not completely represent the actual buildings. We present ways to extract buildings from images enabling improvement of the existing model. The approach is based on edge detection on images to detect walls, pure use of sensor data by creating an overlay to the video stream with the 3D model renderer from current position by a server, and the use of structure from motion algorithms to create point clouds and recognize a building via the support of the device's sensors. We show that we are thus able to texturize and refine an existing 3D city model.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Gutbell, Ralf ; Kuehnel, Hannes ; Kuijper, Arjan
Title: Texturizing and Refinement of 3D City Models with Mobile Devices
Language: English
Abstract:

Building recognition from images and video streams of mobile devices to texturize and refine an existing 3D city model is an open challenge, since such models most often do not completely represent the actual buildings. We present ways to extract buildings from images enabling improvement of the existing model. The approach is based on edge detection on images to detect walls, pure use of sensor data by creating an overlay to the video stream with the 3D model renderer from current position by a server, and the use of structure from motion algorithms to create point clouds and recognize a building via the support of the device's sensors. We show that we are thus able to texturize and refine an existing 3D city model.

Title of Book: Advanced Concepts for Intelligent Vision Systems : Proceedings
Place of Publication: Berlin
Publisher: Springer
ISBN: Print ISBN 978-3-319-70352-7 Online ISBN 978-3-319-70353-4
Uncontrolled Keywords: Structure-from-Motion (SfM), Self calibration, Multi-view stereo, 3D Reconstruction, Image-based rendering, 3D City models, 3D Computer vision
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: ACIVS 2017 : 18th International Conference
Event Location: Antwerp, Belgium
Event Dates: September 18-21, 2017
Date Deposited: 05 May 2020 14:18
DOI: 10.1007/978-3-319-70353-4_27
Official URL: https://doi.org/10.1007/978-3-319-70353-4_27
Additional Information:

Lecture Notes in Computer Science, vol 10617

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