A comparison of face and facial feature detectors based on the viola-jones general object detection framework

[EN]The human face provides useful information during interaction; therefore, any system integrating Vision- BasedHuman Computer Interaction requires fast and reliable face and facial feature detection. Different approaches have focused on this ability but only open source implementations have been extensively used by researchers. A good example is the Viola–Jones object detection framework that particularly in the context of facial processing has been frequently used.

An study on ear detection and its applications to face detection

[EN]OpenCV includes di erent object detectors based on the Viola-Jones framework. Most of them are specialized to deal with the frontal face pattern and its inner elements: eyes, nose, and mouth. In this paper, we focus on the ear pattern detection, particularly when a head pro le or almost pro le view is present in the image. We aim at creating real-time ear detectors based on the general object detection framework provided with OpenCV. After training classi ers to detect left ears, right ears, and ears in general, the performance achieved is valid to be used to feed not only a head pose estimation system but also other applications such as those based on ear biometrics.

Pezqueñines

[ES] Este Trabajo de Fin de Grado describe el desarrollo de un prototipo para plataformas móviles, que permite determinar si un pez alcanza la talla mínima establecida para su consumo. Para ello se realiza la detección y segmentación de un pez, para posteriormente determinar si cumple con la talla mínima, utilizando como referencia una moneda de un euro para calibrar el tamaño. La detección se realiza aplicando la implementación del esquema de Viola-Jones, integrada en la librería  OpenCV, creando una serie de detectores propios  tanto para los peces como para la moneda. Asimismo se ha utilizado SDK del que dispone dicha librería para desarrollar la aplicación en plataforma móvil Android.