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In this paper a new approach is presented for markerless pose tracking in augmented reality. Using a tracking by detection approach, we estimate the 3D camera pose by detecting natural feature points in each input frame and building correspondences between 2D feature points. Instead of modeling the 3D environment, which is changing constantly and dynamically, we use a virtual square to define a 3D...
The fifteen papers in this special section that focus on three dimensional content (3D), with particular emphasis on the fusion of conventional camera outputs with those captured by other modalities, such as active sensors, multi-spectral data or dynamic range images as well as applications that support the measurement and improvement of 3-D content.
In this work we present a new approach for the detection of moving objects observed by a mobile camera, which is a critical issue related to autonomous robot navigation as well as driver/pilot assistance systems. In order to separate individual object motions from the self-motion of the observing camera, we implement a linear method to recover the full set of 3D motion parameters undergone by the...
In this paper, we propose a novel approach for the visual navigation of unmanned aerial vehicles (UAV). In contrast to most available methods, a single perspective camera is used to estimate the complete set of 3D motion parameters undergone by the UAV. We establish robust point correspondences between consecutive image frames captured by the flying vehicle. Based on the estimated motion parameters...
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