Enhanced omnidirectional image unwrapping for face detection

Y. Dupuis; A. Mendoza Quispe; P. Vasseur; B. Castaneda; Nicolas Ragot

Enhanced omnidirectional image unwrapping for face detection

Y. Dupuis, A. Mendoza Quispe, P. Vasseur, B. Castaneda, Nicolas Ragot

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

This paper introduces a new framework to improve the performance of Viola and Jones face detector on omnidirectional unwrapped images. First, an optimization scheme is used to improve the unwrapped image specifically for rectangular Haar-like features. Then, we compare our unwrapping approach to the performance obtained with spherical unwrapping. The impact of the decision boundary and candidate window density are also investigated. Our work suggests that our new unwrapping technique improves significantly the performance of Viola and Jones detector on omnidirectional unwrapped images.

Idioma original	Español
Título de la publicación alojada	2014 IEEE International Conference on Image Processing, ICIP 2014
Páginas	263-267
Número de páginas	5
Estado	Publicada - 28 ene. 2014
Publicado de forma externa	Sí

Citar esto

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title = "Enhanced omnidirectional image unwrapping for face detection",

abstract = "This paper introduces a new framework to improve the performance of Viola and Jones face detector on omnidirectional unwrapped images. First, an optimization scheme is used to improve the unwrapped image specifically for rectangular Haar-like features. Then, we compare our unwrapping approach to the performance obtained with spherical unwrapping. The impact of the decision boundary and candidate window density are also investigated. Our work suggests that our new unwrapping technique improves significantly the performance of Viola and Jones detector on omnidirectional unwrapped images.",

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AU - Ragot, Nicolas

PY - 2014/1/28

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N2 - This paper introduces a new framework to improve the performance of Viola and Jones face detector on omnidirectional unwrapped images. First, an optimization scheme is used to improve the unwrapped image specifically for rectangular Haar-like features. Then, we compare our unwrapping approach to the performance obtained with spherical unwrapping. The impact of the decision boundary and candidate window density are also investigated. Our work suggests that our new unwrapping technique improves significantly the performance of Viola and Jones detector on omnidirectional unwrapped images.

AB - This paper introduces a new framework to improve the performance of Viola and Jones face detector on omnidirectional unwrapped images. First, an optimization scheme is used to improve the unwrapped image specifically for rectangular Haar-like features. Then, we compare our unwrapping approach to the performance obtained with spherical unwrapping. The impact of the decision boundary and candidate window density are also investigated. Our work suggests that our new unwrapping technique improves significantly the performance of Viola and Jones detector on omnidirectional unwrapped images.

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BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

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