Abstract
This chapter introduces the methods to extract two significant characteristics in 3D ear images: ear-cheek angle and the dissimilarity of the left and right ears of the same person. The ear-cheek angle is defined as the angle between the normal vector of the cheek-plane and the normal vector of the ear-plane. To measure the difference of the left and right ears a modified ICP (Iterative Closest Point) algorithm is applied. These characteristics cannot be extracted from 2D ear images. The experimental results show that the ear-cheek angle is unique and stable for each person and distinguishable for different people, which is a useful feature in 3D ear classification and indexing. In addition, the statistical analysis shows that there is an important difference between the left and right ears of the same person; hence both ears can be treated as a respective class in 3D ear recognition.
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Zhang, D., Lu, G. (2013). Two Significant Characteristics in 3D Ear. In: 3D Biometrics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7400-5_4
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DOI: https://doi.org/10.1007/978-1-4614-7400-5_4
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