Abstract
Face detection is a key problem in intelligent visual human computer interaction research. It is essential to many applications, for example, human face synthesis, face recognition, face tracking, pose estimation, facial expression recognition and object oriented image coding. This paper presents a new face detection algorithm based on Hough Transform and facial features. First, uses geometry match, calculates the mouth location. Then, according to the triangle relation between eyes and mouth, make a verification of face rotation. Finally, realizes the human face detection accurately. Experimental results show that this algorithm can be used in different environment, and it can also improve the face recognition obviously.
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© 2009 Springer-Verlag Berlin Heidelberg
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Huang, Hm., Hu, G. (2009). A Face Detection Based on Face Features. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_19
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DOI: https://doi.org/10.1007/978-3-642-03664-4_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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