Jose Roberto Villalobos Fiatt
Deep learning 3D facial reconstruction framework for prosthetic rehabilitation.
Rel. Stefano Di Carlo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2022
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Abstract
Aesthetics has been one of the concepts most studied and analyzed by the greatest philosophers, authors and thinkers of all times and is nowadays a key factor in case of prosthetic rehabilitation, especially when connected to facial rehabilitation (e.g., in case of severe accidents or pathologies). The implementation of the aesthetic standards in daily clinical practice to improve the aesthetics of patients has been a constant challenge for clinicians since dentistry was born. The traditional approach in this domain is to create wax models or similar artifacts that can help the patient to visualize the result if the prosthetic rehabilitation process.
The advance in computing graphics techniques, machine learning and artificial intelligence has the potential to significantly impact this domain
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