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.
- Pinna anatomy landmarks
- Computer vision and image processing
|Project type||Master Thesis|
|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.