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Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images

The paper presents a method for recognizing sequences of static letters of the Polish finger alphabet using the point cloud descriptors: viewpoint feature histogram, eigenvalues-based descriptors, ensemble of shape functions, and global radius-based surface descriptor. Each sequence is understood as...

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Principais autores: Dawid Warchoł, Tomasz Kapuściński, Marian Wysocki
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2019-03-01
Serier:Sensors
Fag:
hand posture recognition
fingerspelling
Polish finger alphabet
American finger alphabet
Kinect
point cloud
hidden Markov models
Online adgang:http://www.mdpi.com/1424-8220/19/5/1078
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