Robuste Handkonturerkennung Book by Oliver Jorkisch
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Robuste Handkonturerkennung

Robuste Handkonturerkennung


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About the Book

Die Hand wird in der Informatik als Interaktionsinstrument zunehmend wichtiger. Schon heute gibt es einige Systeme bei denen der Benutzer seine Eingaben nicht mehr mit Maus und Tastatur, sondern mit Hilfe seiner Hände vornimmt. Der große Vorteil hiervon ist, dass man Objekte wie in der realen Welt manipulieren kann. Z.B. ist es nicht ganz klar, wie man ein 3D-Objekt wie eine Tasse mit Maus und Tastatur "greift". Mit der Hand ist diese Aufgabe ganz natürlich ausführbar und muss nicht extra erlernt werden. Um eine solche Interaktion zu unterstützen ist ein Handtracking notwendig. Man unterscheidet hierbei zwischen einem System zur Erkennung vorher festgelegter Gesten und einem Tracking aller möglichen Handstellungen. Bei der Gestenerkennung können nur solche Gebärden erkannt werden, die dem auch System bekannt sind. Diese Menge ist beschränkt und muss vor dem Tracking festgelegt werden. Das Verfahren kann man daher auch als eine Klassifizierungsaufgabe betrachten. Hier wird ausschließlich das vollständige Handtracking betrachtet, da es flexibler einsetzbar ist, und keinen Beschränkungen hinsichtlich der Anzahl der verschiedenen zu erkennenden Handstellungen unterliegt. Hier wird ein Verfahren präsentiert, welches die Handkontur ohne Vorkenntnis erkennen kann. Das Verfahren soll in der Lage sein die Hand auch unter schwierigen Bedingungen wie Verdeckung, schlechten Lichtverhältnissen oder verrauschten Bildern zu erkennen. Hierdurch wird die Initialisierung eines Handtrackingvorgangs erheblich vereinfacht. Durch solch ein Verfahren zur Erkennung der Handkontur ohne Vorkenntnisse entfällt die Notwendigkeit, zu Beginn eines Handtrackings ein "manuelles matching" durchzuführen. Der Benutzer muss lediglich seine Hand zu Beginn des Trackings in einer vorgeschriebenen Geste zeigen, und die Konturerkennung führt die Initialisierung durch. Eine auf diese Weise korrekt erkannte Hand bietet eine sehr viel bessere Initialposition, als bei der manuellen Initialisierung, die zurzeit
About the Author: Dipl. Informatiker Oliver Jorkisch, Studium der Informatik an der Rheinischen Friedrich-Wilhelms-Universität Bonn, Abschluss 2006. Aktuell als Software Berater im Java / Webumfeld tätig.


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Product Details
  • ISBN-13: 9783836655354
  • Publisher: Diplomica Verlag Gmbh
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 5 mm
  • Weight: 222 gr
  • ISBN-10: 3836655357
  • Publisher Date: 04 Jan 2008
  • Height: 254 mm
  • No of Pages: 90
  • Series Title: German
  • Sub Title: Initialisierung eines Handtrackingverfahrens
  • Width: 178 mm


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