Paper
13 June 2013 Geometric exploration of virtual planes in a fusion-based 3D data registration framework
Hadi Aliakbarpour, Kannappan Palaniappan, Jorge Dias
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Abstract
Three-dimensional reconstruction of objects, particularly buildings, within an aerial scene is still a challenging computer vision task and an importance component of Geospatial Information Systems. In this paper we present a new homography-based approach for 3D urban reconstruction based on virtual planes. A hybrid sensor consisting of three sensor elements including camera, inertial (orientation) sensor (IS) and GPS (Global Positioning System) location device mounted on an airborne platform can be used for wide area scene reconstruction. The heterogeneous data coming from each of these three sensors are fused using projective transformations or homographies. Due to inaccuracies in the sensor observations, the estimated homography transforms between inertial and virtual 3D planes have measurement uncertainties. The modeling of such uncertainties for the virtual plane reconstruction method is described in this paper. A preliminary set of results using simulation data is used to demonstrate the feasibility of the proposed approach.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hadi Aliakbarpour, Kannappan Palaniappan, and Jorge Dias "Geometric exploration of virtual planes in a fusion-based 3D data registration framework", Proc. SPIE 8747, Geospatial InfoFusion III, 87470C (13 June 2013); https://doi.org/10.1117/12.2015933
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Cited by 7 scholarly publications.
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KEYWORDS
Cameras

3D modeling

Sensors

3D image processing

3D metrology

Image registration

Global Positioning System

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