Paper
10 January 2003 Building extraction and modeling in urban area by image sequence analysis
Author Affiliations +
Proceedings Volume 5013, Videometrics VII; (2003) https://doi.org/10.1117/12.476169
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
3D city modeling from airborne imagery includes mainly two parts: (1) image processing procedures and (2) 3D modeling for man-made objects such as buildings, roads and other objects. Line or feature extraction and stereo matching are usually utilized as an image processing procedures, and geometrical data acquisition for man-made objects are performed. However, there are some issues for automatic or semi-automatic man-made object modeling. These problems include uncertainty within matching, extraction of man-made objects and spatial data acquisition. In particular, spatial data acquisition of buildings are important for reliable city modeling. With this objective, this paper focuses especially on efficient and robust line matching method using optical flow, which enable an automatic building extraction since line gives important information for building extraction and satisfied results are depend on rigorous line extraction and matching. Furthermore, building extraction using morphological opening and 3D modeling for urban area are also investigated in this paper.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yoichi Kunii and Hirofumi Chikatsu "Building extraction and modeling in urban area by image sequence analysis", Proc. SPIE 5013, Videometrics VII, (10 January 2003); https://doi.org/10.1117/12.476169
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

Optical flow

Data acquisition

Image analysis

3D image processing

Data modeling

Feature extraction

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