Which shape representation is the best for real-time hand interface system?
dc.citation.epage | 11 | en_US |
dc.citation.spage | 1 | en_US |
dc.citation.volumeNumber | 5875 | en_US |
dc.citation.volumeNumber | Part I | en_US |
dc.contributor.author | Genç, Serkan | en_US |
dc.contributor.author | Atalay V. | en_US |
dc.coverage.spatial | Las Vegas, NV, USA | en_US |
dc.date.accessioned | 2016-02-08T12:24:44Z | |
dc.date.available | 2016-02-08T12:24:44Z | |
dc.date.issued | 2009 | en_US |
dc.department | Computer Technology and Information Systems | en_US |
dc.description | Conference name: 5th International Symposium, ISVC 2009 | en_US |
dc.description | Date of Conference: Las Vegas, NV, USA | en_US |
dc.description.abstract | Hand 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.provenance | Made 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: 2009 | en |
dc.identifier.doi | 10.1007/978-3-642-10331-5 | en_US |
dc.identifier.doi | 10.1007/978-3-642-10331-5_1 | en_US |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11693/28598 | |
dc.language.iso | English | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-642-10331-5_1 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/978-3-642-10331-5 | en_US |
dc.source.title | Advances in Visual Computing | en_US |
dc.subject | Hand interface | en_US |
dc.subject | Hand recognition | en_US |
dc.subject | Shape representation | en_US |
dc.subject | Fourier descriptors | en_US |
dc.subject | Hand gesture | en_US |
dc.subject | Hand movement | en_US |
dc.subject | Hand posture | en_US |
dc.subject | Hand shape | en_US |
dc.subject | Hu moments | en_US |
dc.subject | Immersive | en_US |
dc.subject | Input devices | en_US |
dc.subject | Interface system | en_US |
dc.subject | Orientation histograms | en_US |
dc.subject | Shape descriptors | en_US |
dc.subject | Shape representation | en_US |
dc.subject | Human computer interaction | en_US |
dc.subject | Interactive computer systems | en_US |
dc.subject | Knowledge management | en_US |
dc.subject | Interfaces (computer) | en_US |
dc.title | Which shape representation is the best for real-time hand interface system? | en_US |
dc.type | Conference Paper | en_US |
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