Which shape representation is the best for real-time hand interface system?

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dc.citation.epage11en_US
dc.citation.spage1en_US
dc.citation.volumeNumber5875en_US
dc.citation.volumeNumberPart Ien_US
dc.contributor.authorGenç, Serkanen_US
dc.contributor.authorAtalay V.en_US
dc.coverage.spatialLas Vegas, NV, USAen_US
dc.date.accessioned2016-02-08T12:24:44Z
dc.date.available2016-02-08T12:24:44Z
dc.date.issued2009en_US
dc.departmentComputer Technology and Information Systemsen_US
dc.descriptionConference name: 5th International Symposium, ISVC 2009en_US
dc.descriptionDate of Conference: Las Vegas, NV, USAen_US
dc.description.abstractHand is a very convenient interface for immersive human-computer interaction. Users can give commands to a computer by hand signs (hand postures, hand shapes) or hand movements (hand gestures). Such a hand interface system can be realized by using cameras as input devices, and software for analyzing the images. In this hand interface system, commands are recognized by analyzing the hand shapes and its trajectories in the images. Therefore, success of the recognition of hand shape is vital and depends on the discriminative power of the hand shape representation. There are many shape representation techniques in the literature. However, none of them are working properly for all shapes. While a representation leads to a good result for a set of shapes, it may fail in another one. Therefore, our aim is to find the most appropriate shape representation technique for hand shapes to be used in hand interfaces. Our candidate representations are Fourier Descriptors, Hu Moment Invariant, Shape Descriptors and Orientation Histogram. Based on widely-used hand shapes for an interface, we compared the representations in terms of their discriminative power and speed. © 2009 Springer-Verlag.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:24:44Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2009en
dc.identifier.doi10.1007/978-3-642-10331-5en_US
dc.identifier.doi10.1007/978-3-642-10331-5_1en_US
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11693/28598
dc.language.isoEnglishen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/978-3-642-10331-5_1en_US
dc.relation.isversionofhttps://doi.org/10.1007/978-3-642-10331-5en_US
dc.source.titleAdvances in Visual Computingen_US
dc.subjectHand interfaceen_US
dc.subjectHand recognitionen_US
dc.subjectShape representationen_US
dc.subjectFourier descriptorsen_US
dc.subjectHand gestureen_US
dc.subjectHand movementen_US
dc.subjectHand postureen_US
dc.subjectHand shapeen_US
dc.subjectHu momentsen_US
dc.subjectImmersiveen_US
dc.subjectInput devicesen_US
dc.subjectInterface systemen_US
dc.subjectOrientation histogramsen_US
dc.subjectShape descriptorsen_US
dc.subjectShape representationen_US
dc.subjectHuman computer interactionen_US
dc.subjectInteractive computer systemsen_US
dc.subjectKnowledge managementen_US
dc.subjectInterfaces (computer)en_US
dc.titleWhich shape representation is the best for real-time hand interface system?en_US
dc.typeConference Paperen_US

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