Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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Virtual reconstruction of 3D scenes based on range cameras

2009 , Sabov, A. , Krüger, J.

Virtual reconstruction of existing objects and environments is needed in many different areas such as the planning of building extensions, quality assurance for production processes and city reconstructions for geographic information systems. Different scanner systems have been established which meet the demands on the application. For applications such as computer aided facility management a short scanning time is the most important factor instead of high precision. Range cameras are a new generation of 3D scanners which can measure distances to their environment directly with a high frame rate. In this paper a reconstruction method is presented which is specific to range camera data.

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Data evaluation for depth calibration of a customary PDM range imaging sensor considering objects with different albedo

2008 , Radmer, J. , Sabov, A. , Krüger, J.

For various applications, such as object recognition or tracking and especially when the object is partly occluded or articulated, 3D information is crucial for the robustness of the application. A recently developed sensor to aquire distance information is based on the photo mixer device (PMD) technique. This article presents an easy but accurate data acquisition method for data evaluation of a customary sensor. Data evaluation focuses on the detection of the over- and underexposured data under consideration of objects with two different albedos. This improves the exactitude of the data for the study of the systematic errors of this sensor. Therefore the work of this article can be seen as an intermediate result on the way to a PMD range imaging sensor calibration. Entnommen aus TEMA

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Improving the data quality of PMD-based 3D cameras

2007 , Sabov, A. , Krüger, J.

Reproducing the environment as a virtual model in a computer is a requirement of many vision, modeling and vizualisation applications. 3D video range cameras are a promising approach since they provide direct 3D information of a recorded scene. This paper focuses on improving the data quality of such cameras by analysing and processing the raw values. The first algorithm focuses on the quality of the distance values. The optimal exposure times for the camera are predicted and the resulting distance values are combined to create an improved depth image. The second algorithm focuses on the quality of grayscale values. An illumination model is presented which is used to eliminate spotlight effects in the picture. An evaluation on test scenes demonstrates the effectiveness of the algorithms. Entnommen aus TEMA

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Szenariomanagement für internetbasierte Trainingsdienste

2008 , Krüger, J. , Schreck, G. , Sabov, A.

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Scenario modeling in environmental monitoring and civil protection applications

2007 , Sabov, A. , Schreck, G. , Krüger, J.

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Identification and correction of flying pixels in range camera data

2008 , Sabov, A. , Krüger, J.

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Erhöhung der Informationsqualität von PMD-basierten 3D-Kameras

2007 , Sabov, A. , Krüger, J.

PMD-Kameras können direkte 3D-lnformationen über Ihre Umgebung liefern und eröffnen dadurch neue Anwendungsfelder im 3D-Bereich. In diesem Beitrag werden zwei Verfahren vorgestellt, welche die Informationsqualität der Kameradaten erhöhen. Das erste Verfahren erhöht die Genauigkeit der Distanzmessungen indem es optimale Belichtungszeiten für die Kamera berechnet und mehrere Aufnahmen kombiniert. Das zweite Verfahren verbessert die Graustufenbilder der Kamera indem es die inhomogene Bestrahlung herausrechnet.

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