Abstract
This chapter presents an efficient technique to detect ear from 3D profile face range images and is invariant to rotation and scale. It makes use of graph connected components constructed using the edges of the depth map image of the range data for ear detection. It can detect left and right ears at the same time without imposing any additional cost or specific training. The technique has been tested on University of Notre Dame 3D profile face database, Collection J2 (UND-J2) having range images with scale and pose variations. Results are also compared with the well known 3D ear detection techniques to show its superiority.
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Notes
- 1.
As stated earlier, in this book, “arc” signifies the notion of an edge in a graph. The word “edge” is used in the context of an edge in an image which is a set of connected pixels representing points of high intensity gradient in the image.
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© 2015 Springer Science+Business Media Singapore
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Prakash, S., Gupta, P. (2015). Ear Detection in 3D. In: Ear Biometrics in 2D and 3D. Augmented Vision and Reality, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-287-375-0_4
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DOI: https://doi.org/10.1007/978-981-287-375-0_4
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