Abstract
Speed, robustness, and cost are three important factors that determine the success of a vision-based human-computer interaction system. In our system, we introduce a scheme that uses only one camera (together with a mirror) to derive the 3D coordinates of a target object. To ensure a more natural interaction between the human and the computer, our system allows the user to use his/her bare fingers to point to any position in the 3D space. In addition, robustness and speed is achieved through the use of the chain-code algorithm. The accuracy of the results is improved through the use of suitable post-processing filters. The performance of our system is thoroughly evaluated.
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© 1997 Springer-Verlag Berlin Heidelberg
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Sifang, L., Wynne, H., Pung, H.K. (1997). A real-time monocular vision-based 3D mouse system. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_149
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DOI: https://doi.org/10.1007/3-540-63460-6_149
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