3D ear landmark detection

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Fig. 1 Example landmarks on the ear.

Course/Project description

Head landmarks are the key points that describe the shape of the head attributes, e.g. eyes, nose, and chin etc. Most available landmark detection algorithms focus on the facial landmarks detection, which do not cover ears. However, ears are very important reference positions for many applications, e.g. earable and eyeglasses design. The project focuses on ear landmark detection. In the project,  we will go through state-of-art ear detection methods and define a set of landmarks that is useful for earable and eyeglasses design. Finally, we will modify / build a detection method using 2D-images and 3D-shapes of existing datasets.


Learning objectives

  • Pinna anatomy landmarks
  • Computer vision and image processing

Course data

Project type Master Thesis
Language English
Presence time 4 SWS
Useful knowledge 50% image processing+ 50% theory
Work distribution Python, image processing, machine learning
Period Winter semester 2019-2020
First meeting Seminar introduction on

16. Oct. 2019, 17:00-18:30 at Henkestr. 91, Haus 7, 1. OG, R 373.


Up-to-date literature recommendations are provided during the lectures.


Final presentation and final report.


Rui Zhang

  • Job title: Researcher
  • Address:
    Henkestr. 91, Geb. 7
    91052 Erlangen
  • Phone number: +49 9131 85-23604
  • Email: rui.rui.zhang@fau.de

Friedrich-Alexander-Universität Erlangen-Nürnberg