Abstract
In order that information included in the hand shape can be extracted for gesture communication aiming to the new technology of Human Computer Interaction, hand shape should be reliably extracted based on image sequences. In this paper a hand shape extraction approach is proposed .By using multiple cues such as motion and color information, embedded in image sequences, a set of complicated hand shapes which compromise a small dictionary of hand postures, can be reliably extracted within a rather sophisticated environment, In this paper the proposed shape extraction strategy is addressed and preliminary results are indicated to prove its effectiveness
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References
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© 2000 Springer-Verlag Berlin Heidelberg
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Xueyin, L., Xiaoping, Z., Haibing, R. (2000). Hand Shape Extraction and Understanding by Virtue of Multiple Cues Fusion Technology. In: Tan, T., Shi, Y., Gao, W. (eds) Advances in Multimodal Interfaces — ICMI 2000. ICMI 2000. Lecture Notes in Computer Science, vol 1948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40063-X_14
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DOI: https://doi.org/10.1007/3-540-40063-X_14
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