New Contributions to Vision-based Human-computer-interaction in Local and Global Environments (Dissertations in Computer Graphics, 2) Kohler, Markus R.J.

Kohler; M.R.J.

ISBN 10: 1586031376 / ISBN 13: 9781586031374

Edité par IOS Press, 1999

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N° de réf. du vendeur 65610-4

Détails bibliographiques

• Titre: New Contributions to Vision-based Human-computer-interaction in Local and Global Environments (Dissertations in Computer Graphics, 2) Kohler, Markus R.J.
• Éditeur: IOS Press
• Date de parution: 1999
• Langue: anglais
• ISBN à 10 chiffres: 1586031376
• ISBN à 13 chiffres: 9781586031374
• Reliure: Couverture souple
• État de l'article: Very Good

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Synopsis

Vision-based human-computer interaction means to use computer-vision technology for interaction of a user with a computer-based application. This idea has recently found particular interest of research. Among the many possibilities of implementing interaction, we focus on hand-based interaction, expressed by single hand postures, sequences of hand postures, and pointing. Two system architectures are presented which address different scenarios of interaction, and which establish the frame for several problems for which solutions are worked out. The system ZYKLOP treats hand gestures performed in a local environment, for example, on a limited area of the table-top. The goal with respect to this classical scenario is a more reliable system behaviour. Contributions concern color-based segmentation, forearm-hand separation as a precondition to more shape-based hand gesture classification, and classification of static and dynamic gestures. The ARGUS concept makes a first step towards the systematic analysis of hand gesture based interaction combined with pointing in a spatial environment with sensitive regions. Special topics addressed within the architectural framework of ARGUS include the recognition of details from the distance, compensation of varying illumination, changing orientation of the hand with respect to the cameras, estimation of pointing directions, and object recognition.