VMV11

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https://diglib.eg.org/handle/10.2312/1015

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Browsing VMV11 by Subject "Applications"

Now showing 1 - 2 of 2
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    Auto-Tilt Photography
    (The Eurographics Association, 2011) Sadlo, Filip; Dachsbacher, Carsten; Peter Eisert and Joachim Hornegger and Konrad Polthier
    Tilt-shift camera lenses are a powerful artistic tool to achieve effects like selective focus with very shallow depth of field. Typically they are used by professional photographers only, which is due to the high cost and weight, and the intricate, non-intuitive handling. We introduce the auto-tilt mechanism which is as easy to use as the standard autofocus. It allows automatic sharp focus of objects not parallel to the image plane, such as in landscape photography where getting everything sharp is often desirable. In contrast to pure computational approaches that are based on resampling from focal stacks, our approach based on true exposures enables time-dependent scenes and higher image quality. Auto-tilt can also be controlled via a simple sketching user-interface letting the photographer quickly define image regions inside and outside sharp focus. We demonstrate auto-tilt using a simple rapidly prototyped experimental setup that tilts the sensor (as opposed to classic tilt-shift lenses), and describe possible implementations in off-the-shelf cameras. We also outline future prospects with flexible image sensors currently being developed.
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    Probabilistic Inverse Dynamics for Blood Pattern Reconstruction
    (The Eurographics Association, 2011) Cecchetto, Benjamin T.; Heidrich, Wolfgang; Peter Eisert and Joachim Hornegger and Konrad Polthier
    We present a method of reconstructing the region of origin and trajectories for particles given impact directions and positions. This method works for nonlinear trajectories, such as parabolic motion or motion with drag if given drag parameters. Our method works if given the impact speeds as well, or they can be estimated using a similar total initial energy prior. We apply our algorithm to the case of forensic blood pattern reconstruction, by automatically estimating impact velocities directly form the blood patterns. We validate our method in physically accurate simulated experiments, a feasibility study varying the impact angle and speed to estimate the impact speed from blood drop densities, as well as a forensic experiment using blood to reconstruct the region of origin.