4 resultados para projector blending

em Digital Peer Publishing


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In order to display a homogeneous image using multiple projectors, differences in the projected intensities must be compensated. In this paper, we present novel approaches to combine and extend existing techniques for edge blending and luminance harmonization to achieve a detailed luminance control. Furthermore, we apply techniques for improving the contrast ratio of multi-segmented displays also to the black offset correction. We also present a simple scheme to involve the displayed context in the correction process to dynamically improve the contrast in brighter images. In addition, we present a metric to evaluate the different methods and their influence on the visual quality.

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In this paper we present a hybrid technique for correcting distortions that appear when projecting images onto geometrically complex, colored and textured surfaces. It analyzes the optical flow that results from perspective distortions during motions of the observer and tries to use this information for computing the correct image warping. If this fails due to an unreliable optical flow, an accurate -but slower and visiblestructured light projection is automatically triggered. Together with an appropriate radiometric compensation, view-dependent content can be projected onto arbitrary everyday surfaces. An implementation mainly on the GPU ensures fast frame rates.

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wo methods for registering laser-scans of human heads and transforming them to a new semantically consistent topology defined by a user-provided template mesh are described. Both algorithms are stated within the Iterative Closest Point framework. The first method is based on finding landmark correspondences by iteratively registering the vicinity of a landmark with a re-weighted error function. Thin-plate spline interpolation is then used to deform the template mesh and finally the scan is resampled in the topology of the deformed template. The second algorithm employs a morphable shape model, which can be computed from a database of laser-scans using the first algorithm. It directly optimizes pose and shape of the morphable model. The use of the algorithm with PCA mixture models, where the shape is split up into regions each described by an individual subspace, is addressed. Mixture models require either blending or regularization strategies, both of which are described in detail. For both algorithms, strategies for filling in missing geometry for incomplete laser-scans are described. While an interpolation-based approach can be used to fill in small or smooth regions, the model-driven algorithm is capable of fitting a plausible complete head mesh to arbitrarily small geometry, which is known as "shape completion". The importance of regularization in the case of extreme shape completion is shown.

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Im Rahmen des EU-Projektes PHOCAM entwickelt das beteiligte Konsortium Anlagen und Materialien für die generative Fertigung keramischer Bauteile auf Basis der Photopolymerisation. Das Kernelement der verwendeten Fertigungsanlagen, der DLP Projektor, erzeugt mittels leistungsstarker LEDs und einem 1080p DMD (Digital Micromirror Device) Bilder mit 1920x1080 Bildpunkten und der Pixelgröße von 40µm, woraus sich die Baufeldgröße von 76,8x43,2mm ergibt. Ein hochviskoser Schlicker, bestehen aus einem gefülltem fotosensitiven Harzsystem, wird von unten durch die gläserne Materialwanne belichtet, wodurch der Schlicker lokal aushärtet (polymerisiert). Auf diese Weise entsteht der Grünling, der in schichtbauweise (Standardschichtdicke von 25-50µm) aufgebaut ist. Im nachfolgenden Sinterprozess werden die Grünlinge zu den fertigen Keramikteilen gebrannt. Als keramisches Basismaterial für den Schlicker wurde vorwiegend Aluminiumoxid in Pulverform verwendet. Mit dem entwickelten System konnten bislang Schlicker mit einem Füllgrad (Keramikanteil) bis zu 50Vol% erfolgreich verarbeitet und zu Keramikteilen mit einer theoretischen Dichte von 99,6% gesintert werden.