Tesi etd-10252022-225000
Link copiato negli appunti
Tipo di tesi
Corso Ordinario Secondo Livello
Autore
COLLODI, LORENZO
URN
etd-10252022-225000
Titolo
Face Detection: a review
Struttura
Cl. Sc. Sperimentali - Ingegneria
Corso di studi
INGEGNERIA - INGEGNERIA
Commissione
Tutor Prof. DI PASQUALE, FABRIZIO CESARE FILIPPO
Relatore Prof. AVIZZANO, CARLO ALBERTO
Membro Dott. LEONARDIS, DANIELE
Membro Prof. CIPRIANI, CHRISTIAN
Membro Prof. FORESTIERI, ENRICO
Membro Prof.ssa MENCIASSI, ARIANNA
Membro Prof. MICERA, SILVESTRO
Membro Prof. VITIELLO, NICOLA
Membro Prof. ABENI, LUCA
Membro Prof. BIONDI, ALESSANDRO
Membro Prof. CUCINOTTA, TOMMASO
Membro Dott.ssa COLLA, VALENTINA
Relatore Prof. AVIZZANO, CARLO ALBERTO
Membro Dott. LEONARDIS, DANIELE
Membro Prof. CIPRIANI, CHRISTIAN
Membro Prof. FORESTIERI, ENRICO
Membro Prof.ssa MENCIASSI, ARIANNA
Membro Prof. MICERA, SILVESTRO
Membro Prof. VITIELLO, NICOLA
Membro Prof. ABENI, LUCA
Membro Prof. BIONDI, ALESSANDRO
Membro Prof. CUCINOTTA, TOMMASO
Membro Dott.ssa COLLA, VALENTINA
Parole chiave
- Benchmark
- Computer Vision
- Face Detection
- Neural Networks
Data inizio appello
14/12/2022;
Disponibilità
parziale
Riassunto analitico
People are naturally attracted by faces, influenced by their appearance and even tend to hallucinate faces where there is none, confirming the importance of such element in everyday life. The importance of face analysis spans multiple fields: social interaction and social networks, security, autonomous systems, entertainment.
Therefore, it is no wonder why face analysis plays a major role in Computer Vision, from face detection and recognition, to the analysis of facial features for specific purposes.
This work tries to explore the history of the main algorithms in face detection, and then describe and compare the principal modern solutions in the specific task of face detection for social media, highlighting their strengths and weaknesses by developing a benchmark based on publicly available datasets. Finally, possible applications, challenges and future research directions are proposed, to further assess the everlasting significance of face detection in Computer Vision.
Therefore, it is no wonder why face analysis plays a major role in Computer Vision, from face detection and recognition, to the analysis of facial features for specific purposes.
This work tries to explore the history of the main algorithms in face detection, and then describe and compare the principal modern solutions in the specific task of face detection for social media, highlighting their strengths and weaknesses by developing a benchmark based on publicly available datasets. Finally, possible applications, challenges and future research directions are proposed, to further assess the everlasting significance of face detection in Computer Vision.
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