3-D Reconstruction of Urban Scenes from Aerial Stereo Imagery: A Focusing Strategy
✍ Scribed by C Baillard; H Maı̂tre
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 500 KB
- Volume
- 76
- Category
- Article
- ISSN
- 1077-3142
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✦ Synopsis
A contribution to the automatic 3-D reconstruction of complex urban scenes from aerial stereo pairs is proposed. It consists of segmenting the scene into two different kinds of components: the ground and the above-ground objects. The above-ground objects are classified either as buildings or as vegetation. The idea is to define appropriate regions of interest in order to achieve a relevant 3-D reconstruction. For that purpose, a digital elevation model of the scene is first computed and segmented into above-ground regions using a Markov random field model. Then a radiometric analysis is used to classify above-ground regions as building or vegetation, leading to the determination of the final above-ground objects. The originality of the method is its ability to cope with extended above-ground areas, even in case of a sloping ground surface. This characteristic is necessary in a urban environment. Results are very robust to image and scene variability, and they enable the utilization of appropriate local 3-D reconstruction algorithms.