Ahmed S. Elliethy

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To enrich large-scale visual analytics applications enabled by aerial wide area motion imagery (WAMI), we propose a novel methodology for accurately registering a geo-referenced vector roadmap to WAMI by using the locations of detected vehicles and determining a parametric transform that aligns these locations with the network of roads in the roadmap.(More)
Accurate disparity estimation is a key ingredient required when generating a high fidelity novel view from a set of input views. In this paper, a high quality disparity estimation method is proposed for view synthesis from multiple input images with large disparities and occlusions. The method optimally selects one out of three image pairs to estimate the(More)
Parametric chamfer alignment (PChA) is commonly employed for aligning an observed set of points with a corresponding set of reference points. PChA estimates optimal geometric transformation parameters that minimize an objective function formulated as the sum of the squared distances from each transformed observed point to its closest reference point. A(More)
Modern aerial imaging platforms provide wide-area motion imagery (WAMI) at high spatial and moderate temporal resolutions making feasible a range of new applications. We consider the dual tasks of registering WAMI frames to geo-referenced vector road-maps and tracking vehicles through the progression of WAMI frames. We present a novel algorithm that(More)
For specular regions (SRs), the assumption of brightness (or other) constancy between images corresponding to multiple views of a scene breaks down. As a consequence, optical-flow (OF) based motion-estimation (ME) algorithms that rely on constancy assumptions fail for specular regions. At the same time estimation of SRs in an image is also prone to errors,(More)
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