Dynamic 3D Scene Analysis and Modeling with a Time-of-Flight Camera
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Dynamic 3D Scene Analysis and Modeling with a Time-of-Flight Camera

Dynamic 3D Scene Analysis and Modeling with a Time-of-Flight Camera


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About the Book

Viele Anwendungen des Maschinellen Sehens benötigen die automatische Analyse und Rekonstruktion von statischen und dynamischen Szenen. Deshalb ist die automatische Analyse von dreidimensionalen Szenen und Objekten ein Bereich der intensiv erforscht wird. Die meisten Ansätze konzentrieren sich auf die Rekonstruktion statischer Szenen, da die Rekonstruktion nicht-statischer Geometrien viel herausfordernder ist und voraussetzt, dass dreidimensionale Szeneninformation mit hoher zeitlicher Auflösung verfügbar ist. Statische Szenenanalyse wird beispielsweise in der autonomen Navigation, für die Überwachung und für die Erhaltung des Kulturerbes eingesetzt. Andererseits eröffnet die Analyse und Rekonstruktion nicht-statischer Geometrie viel mehr Möglichkeiten, nicht nur für die bereits erwähnten Anwendungen. In der Produktion von Medieninhalten für Film und Fernsehen kann die Analyse und die Aufnahme und Wiedergabe von vollständig dreidimensionalen Inhalten verwendet werden um neue Ansichten realer Szenen zu erzeugen oder echte Schauspieler durch animierte virtuelle Charaktere zu ersetzen. Die wichtigste Voraussetzung für die Analyse von dynamischen Inhalten ist die Verfügbarkeit von zuverlässigen dreidimensionalen Szeneninformationen. Um die Entfernung von Punkten in der Szene zu bestimmen wurden meistens Stereo-Verfahren eingesetzt, aber diese Verfahren benötigen viel Rechenzeit und erreichen in Echtzeit nicht die benötigte Qualität. In den letzten Jahren haben die so genannten Laufzeitkameras das Stadium der Prototypen verlassen und sind jetzt in der Lage dichte Tiefeninformationen in vernünftiger Qualität zu einem vernünftigen Preis zu liefern. Diese Arbeit untersucht die Eignung dieser Kameras für die Analyse nicht-statischer dreidimensionaler Szenen. Bevor eine Laufzeitkamera für die Analyse eingesetzt werden kann muss sie intern und extern kalibriert werden. Darüber hinaus leiden Laufzeitkameras an systematischen Fehlern bei der Entfernungsmessung, bedingt durch ihr
About the Author: Ingo Schiller wurde am 12.05.1977 in Ravensburg (Deutschland) geboren. Er hat Ingenieur-Informatik an der Christian-Albrechts-Universität zu Kiel studiert. Seine anschließende Dissertation hat er während seiner Zeit als wissenschaftlicher Mitarbeiter am Institut für Informatik der Christian-Albrechts-Universität zu Kiel in der Arbeitsgruppe "Multimediale Informationsverarbeitung" von Prof. Dr.-Ing. Reinhard Koch verfasst. Sein Hauptforschungsgebiet ist die Computer Vision, im Besonderen interessiert er sich für Problemstellungen in Zusammenhang mit aktiven Tiefen- bzw. Laufzeitkameras.


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Product Details
  • ISBN-13: 9783842371897
  • Publisher: Books on Demand
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Width: 148 mm
  • ISBN-10: 3842371896
  • Publisher Date: 28 Jul 2011
  • Height: 210 mm
  • No of Pages: 150
  • Series Title: English
  • Weight: 240 gr


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