Human ear detection is the first task of a human ear recognition system and its performance significantly affects the overall quality of the system. In this chapter, we propose three techniques for locating human ears in side face range images: template matching based detection, ear shape model based detection, and fusion of color and range images and global-to-local registration based detection. The first two approaches only use range images, and the third approach fuses the color and range images.
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© 2008 Springer-Verlag London Limited
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(2008). 3D Ear Detection from Side Face Range Images. In: Human Ear Recognition by Computer. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84800-129-9_3
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DOI: https://doi.org/10.1007/978-1-84800-129-9_3
Publisher Name: Springer, London
Print ISBN: 978-1-84800-128-2
Online ISBN: 978-1-84800-129-9
eBook Packages: Computer ScienceComputer Science (R0)