Jong, M.A. (Markus) de

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Stellingenbehorende bij het proefschriftAutomated 3D facial landmarkingStellingen related to the dissertationchapter 2, first paper: 1: 2D Gabor wavelets are suitable to solve 3D computer visionproblemschapter 3, ensemble paper: 2: Sometimes the forest can be better seen for the trees: moreand smart features improve landmarkingchapter 4, clinical paper: 3: Our algorithm is ready for clinical usechapter 5, skull landmarking: 4: A good and useful algorithm works on different types of datachapter 6, symmetry: 5: An algorithm based on our landmarks can be used to performsymmetry analysisStellingen not related to the dissertation6: “You must always remember that the products of your mindcan be used by other people either for good or for evil, and thatyou have a responsibility that they be used for good.” DeanLlewellen M. K. Boelter7: Artificial intelligence has a racial bias problem8: Deep learning is promising but can be beaten for small train-ing samples9: We will at some time be able to predict a face only from aDNA sample - or will we not?10: We will be able to automatically judge a face and tell itsowner’s gender, ethnic origins and medical baggage and ulti-mately success in lifeVrije stellingWe should all put a 3D scan of our faces online - it’s a visibletrait.Markus de JongOctober 4th, 20191

Automated 3D Facial Landmarking

https://repub.eur.nl/pub/119771/stellingenv4.pdf

Automated 3D Facial Landmarking

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