Abstract
We present a method for a template matching and an efficient cascaded object detection. The proposed method belongs to wide criteria which can regard to the “feature-centric”. Furthermore, the proposed cascade method has some merits to the face changes. The proposed method for an object detection uses to find the object to most approach better than to find the object to correspond completely. Therefore, this method can use to detect the many faces mixed with different objects. We expect that the result of this paper can be contributed to develop more detection methods and recognition system algorithm.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kim, J.O., Jang, J.Y., Chung, C.H. (2005). On a Face Detection with an Adaptive Template Matching and an Efficient Cascaded Object Detection. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_43
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DOI: https://doi.org/10.1007/11538356_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
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