Fingertips detection for human interaction system
Contribuinte(s) |
Wang, Yulin Jiang, Xudong Yang, Ming Zhang, David Yi, Xie |
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Data(s) |
01/01/2014
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Resumo |
Fingertips of human hand play an important role in hand-based interaction with computers. Identification of fingertips' positions in hand images is vital for developing a human computer interaction system. This paper proposes a novel method for detecting fingertips of a hand image analyzing the concept of the geometrical structural information of fingers. The research is divided into three parts: First, hand image is segmented for detecting hand, Second, invariant features (curvature zero-crossing points) are extracted from the boundary of the hand, Third, fingertips are detected. Experimental results show that the proposed approach is promising. |
Identificador | |
Idioma(s) |
eng |
Publicador |
SPIE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30060729/alam-fingertipdetection-evid-2013.pdf http://dro.deakin.edu.au/eserv/DU:30060729/alam-fingertipsdetection-2013.pdf http://doi.org/10.1117/12.2054189 |
Direitos |
2013, SPIE |
Palavras-Chave | #fingertips detection #human computer interaction #curvature zero-crossing points #features extraction |
Tipo |
Conference Paper |