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Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection

Lescano, Germán Ezequiel et al · Universidad Nacional de La Plata. Facultad de Informática · 2017

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Author / responsible party
Lescano, Germán Ezequiel et al
Publisher
Universidad Nacional de La Plata. Facultad de Informática
Year
2017
ISSN
1666-6038
ISSN
1666-6038
Language
English

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Faces and facial expressions recognition is an interesting topic for researchers in machine vision. Viola-Jones algorithm is the most spread algorithm for this task. Building a classification model for face recognition can take many years if the implementation of its training phase is not optimized. In this study, we analyze different implementations for the training phase. The aim was to reduce the time needed during training phase when using one computer with a cheap graphical processing unit (GPU). The execution times were analyzed and compared with previous studies. Results showed that combining C language, CUDA, etc., it is possible to reach acceptable times for training phase. Further research may involve the measurement of the performance of our approach computers with better GPU capacity and exploring a multi-GPU approach. Fil: Lescano, Germán Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Exactas y Tecnologías; Argentina Fil: Santana Mansilla, Pablo Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Santiago del Estero. Facultad de Ciencias Exactas y Tecnologías; Argentina

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APA 7

Lescano, G. E. E. A. (2017). Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection. http://hdl.handle.net/11336/74112

MLA

Lescano, Germán Ezequiel et al. "Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection." 2017. http://hdl.handle.net/11336/74112.

Chicago

Lescano, Germán Ezequiel et al. 2017. "Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection.". http://hdl.handle.net/11336/74112.

Harvard

Lescano, G. E. E. A. 2017, Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection, Universidad Nacional de La Plata. Facultad de Informática, available at: http://hdl.handle.net/11336/74112 [Accessed 6 Aug. 2026].

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Title
Analysis of a GPU implementation of Viola-Jones' Algorithm for Features Selection
Author / contributors
Lescano, Germán Ezequiel et al
Publisher
Universidad Nacional de La Plata. Facultad de Informática
Publication year
2017
ISSN
1666-6038
ISSN
1666-6038
Language
English

Subjects

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ADABOOST; VIOLA-JONES ALGORITHM; FEATURE SELECTION; CUDA; https://purl.org/becyt/ford/1.2; https://purl.org/becyt/ford/1; https://purl.org/becyt/ford/1.1; https://purl.org/becyt/ford/1
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