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Proceedings ArticleDOI

Feature matching for building extraction from multiple views

Roux, +1 more
- pp 46-53
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TLDR
A method to generate three-dimensional building hypotheses starting from sparse features, hypothesized building corners, extracted from multiple views of the scene, demonstrated using complex aerial imagery taken with highly oblique views containing buildings with flat or peaked roofs.
Abstract
We present a method to generate three-dimensional building hypotheses starting from sparse features, hypothesized building corners, extracted from multiple views of the scene. This technique relies on knowledge about the imaging geometry and acquisition parameters to provide rigorous geometric constraints for the matching process. The effectiveness of this approach is demonstrated using complex aerial imagery taken with highly oblique views containing buildings with flat or peaked roofs. >

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Citations
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Journal ArticleDOI

Building Detection and Description from a Single Intensity Image

TL;DR: A grouping process is used to generate 2-D roof hypotheses from fragmented linear features extracted from the input image to detect buildings and construct 3-D shape descriptions of buildings from a monocular aerial image with a general viewpoint.
Proceedings ArticleDOI

Automatic reconstruction of piecewise planar models from multiple views

TL;DR: The novelty of the approach lies in the use of inter-image homographies to validate and best estimate the plane, and in the minimal initialization requirements-only a single 3D line with a textured neighbourhood is required to generate a plane hypothesis.
Journal ArticleDOI

Reconstruction of 3D building models from aerial images and maps

TL;DR: In this article, a 3D building reconstruction method that integrates the aerial image analysis with information from large-scale 2D Geographic Information System (GIS) databases and domain knowledge is presented.

Reconstruction of 3D building modelsfrom aerial images and maps

I. Suveg
TL;DR: A 3D building reconstruction method that integrates the aerial image analysis with information from large-scale 2D Geographic Information System (GIS) databases and domain knowledge is described.
Proceedings Article

Automatic line matching and 3d reconstruction of buildings from multiple views

TL;DR: An algorithm for automatically matching line segments over multiple images and generating a piecewise planar reconstruction based on the matched lines shows that a planar facet hypothesis can be generated from a single 3D line, using an inter-image homography applied to the line neighbourhood.
References
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Journal ArticleDOI

Rule-Based Interpretation of Aerial Imagery

TL;DR: In this article, the authors describe the organization of a rule-based system, SPAM, that uses map and domain-specific knowledge to interpret airport scenes, and the results of the system's analysis are characterized by the labeling of individual regions in the image and the collection of these regions into consistent interpretations of the major components of an airport model.
Journal ArticleDOI

Detecting buildings in aerial images

TL;DR: Detecting building structures in aerial images by using a generic model of the shapes of the structures looking for — that they are rectangular or composed of rectangular components to confirm their presence and to estimate their height.
Journal ArticleDOI

Using perceptual organization to extract 3D structures

TL;DR: The authors argue that representations of structural relationships in the arrangements of primitive image features, as detected by the perceptual organization process, are essential for analyzing complex imagery.
Proceedings ArticleDOI

Methods For Exploiting The Relationship Between Buildings And Their Shadows In Aerial Imagery

TL;DR: In this paper, the relationship between structure and cast shadows is exploited in a unique fashion to aid in the automatic extraction of man-made structures from aerial imagery, and four methods are described that perform the prediction of structure shape, grouping of related structures, verification of individual structures, and structure height estimation.
Journal ArticleDOI

Methods for exploiting the relationship between buildings and their shadows in aerial imagery

TL;DR: Four methods are described that perform the prediction of structure shape, grouping of related structures, verification of individual structures, and structure height estimation that aid in the automatic extraction of man-made structures from aerial imagery.
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