Paper
17 August 1994 Applying perceptual grouping and surface models to the detection and stereo reconstruction of buildings in aerial imagery
Tuan Dang, Olivier Jamet, Henri Maitre
Author Affiliations +
Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182788
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
Abstract
In this paper, we present an approach for the detection and stereo reconstruction of buildings in aerial images using perceptual organization and surface models. First, planar models of surface are used in conjunction with radiometric information to correct a noisy and sparse disparity map obtained from an area based stereo matching. The resulting disparity map is then used by a fusion process to filter useless edges. The remaining edges are processed by a geometric grouping algorithm, which is based on perceptual organization, to detect buildings which can be modeled as a combination of rectangular structures. Finally, a new disparity map is computed for the detected buildings.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuan Dang, Olivier Jamet, and Henri Maitre "Applying perceptual grouping and surface models to the detection and stereo reconstruction of buildings in aerial imagery", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182788
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Cited by 22 scholarly publications.
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KEYWORDS
Image segmentation

Reconstruction algorithms

Airborne remote sensing

Image fusion

Natural surfaces

Directed energy weapons

Sensors

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