Tesi etd-09152016-085435 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
JOAO, VALDO ANTONIO
URN
etd-09152016-085435
Titolo
Parallelizing Image Processing Algorithms For Face Recognition on Multicore Platforms
Dipartimento
INFORMATICA
Corso di studi
INFORMATICA E NETWORKING
Relatori
relatore Prof. Buttazzo, Giorgio C.
correlatore Prof. Danelutto, Marco
controrelatore Prof. Cisternino, Antonio
correlatore Prof. Danelutto, Marco
controrelatore Prof. Cisternino, Antonio
Parole chiave
- Face Recognition
- Image processing
- Multi-core Platforms
- parallelization
- Viola-Jones algorithm
Data inizio appello
07/10/2016
Consultabilità
Non consultabile
Data di rilascio
07/10/2086
Riassunto
Humans are able to easily locate faces in its environment despite difficult conditions such as occlusions of parts of a face and bad lightening. Many studies have been conducted to try to replicate this process automatically, using machines.
In this paper we first analyze the existing Face Detection algorithms that are able to provide real-time processing. A detailed analysis of the Viola-Jones algorithm is made. Several techniques are proposed in order to overcome the Viola-Jones algorithm limitations.
An optimization to the current OpenCV implementation of the Viola-Jones algorithm is proposed along with additional parallelization techniques in order to provide better performance on Multi-core Platforms.
In this paper we first analyze the existing Face Detection algorithms that are able to provide real-time processing. A detailed analysis of the Viola-Jones algorithm is made. Several techniques are proposed in order to overcome the Viola-Jones algorithm limitations.
An optimization to the current OpenCV implementation of the Viola-Jones algorithm is proposed along with additional parallelization techniques in order to provide better performance on Multi-core Platforms.
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