Abstract
We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the region of the forearm in images, enabling location of the hand. The operator is robust to variation in illumination, scale, pose, and hand orientation. This method uses the geometrical structure of the forearm, which is common to all people; therefore no limitation of the hand pose and no personal adjustments are required.
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© 2005 Springer-Verlag Berlin Heidelberg
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Maimon, D., Yeshurun, Y. (2005). Hand Detection by Direct Convexity Estimation. In: Tistarelli, M., Bigun, J., Grosso, E. (eds) Advanced Studies in Biometrics. Lecture Notes in Computer Science, vol 3161. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11493648_6
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DOI: https://doi.org/10.1007/11493648_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26204-6
Online ISBN: 978-3-540-28638-7
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