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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Detalles Bibliográficos
Autores principales: Warchoł, Dawid, Kapuściński, Tomasz, Wysocki, Marian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427618/
https://www.ncbi.nlm.nih.gov/pubmed/30832408
http://dx.doi.org/10.3390/s19051078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427618/
https://www.ncbi.nlm.nih.gov/pubmed/30832408
http://dx.doi.org/10.3390/s19051078

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