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  4. A New Method for Multi-finger Detection Using a Regular Diffuser.
 
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A New Method for Multi-finger Detection Using a Regular Diffuser.

Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal Volume
4552 LNCS
Journal Issue
PART 3
Pages
573-582
Date Issued
2007
Author(s)
Chan, Li-Wei
Chuang, Yi-Fan
Chia, Yi-Wei
YI-PING HUNG  
YUNG-JEN HSU  
DOI
10.1007/978-3-540-73110-8_62
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/490633
https://www.scopus.com/inward/record.uri?eid=2-s2.0-38149069071&doi=10.1007%2f978-3-540-73110-8_62&partnerID=40&md5=caf428a702739ec1517449ada291d9fd
URL
https://doi.org/10.1007/978-3-540-73110-8_62
Abstract
In this paper, we developed a fingertip finding algorithm working with a regular diffuser. The proposed algorithm works on images captured by infra-red cameras, settled on one side of the diffuser, observing human gestures taken place on the other side. With diffusion characteristics of the diffuser, we can separate finger-touch from palm-hover events when the user interacts with the diffuser. This paper contributes on: Firstly, the technique works with a regular diffuser, infra-red camera coupled with an infra-red illuminator, which is easy to deploy and cost effective. Secondly, the proposed algorithm is designed to be robust for casually illuminated surface. Lastly, with diffusion characteristics of the diffuser, we can detect finger-touch and palm-hover events, which is useful for natural user interface design. We have deployed the algorithm on a rear-projection multi-resolution tabletop, called I-M-Top. A video retrieval application using the two events on design of UIs is implemented to show its intuitiveness on the tabletop system. © Springer-Verlag Berlin Heidelberg 2007.
Subjects
Intuitive interaction; Multi-finger detection
Other Subjects
Algorithms; Cameras; Cost effectiveness; Image analysis; Systems analysis; User interfaces; Human gestures; Infra-red cameras; Intuitive interaction; Multi-finger detection; Video retrieval application; Gesture recognition
Type
conference paper

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