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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |