In this work we present the preliminary results of a face detection system based on an hybrid approach: it combines typical feature-based techniques with image-based analysis, in order to better exploit the main characteristics available in the input image. Different modules contribute to the face detection task: 1) a template-based approach initially proposed in [12], 2) an edge-extraction technique well suited to deal with illumination-changes, 3) a multiple-classifier specifically designed to discard false positives and 4) a novel method based on a featureless representation of the eye-patterns that further improves the face/non-face discrimination. The experimental results show that the system can localize faces in images with complex background, even in presence of strong illumination changes.
R. Cappelli, A.Franco, L.Nanni (2004). Towards a robust face detector. PRAGUE : Springer.
Towards a robust face detector
CAPPELLI, RAFFAELE;FRANCO, ANNALISA;NANNI, LORIS
2004
Abstract
In this work we present the preliminary results of a face detection system based on an hybrid approach: it combines typical feature-based techniques with image-based analysis, in order to better exploit the main characteristics available in the input image. Different modules contribute to the face detection task: 1) a template-based approach initially proposed in [12], 2) an edge-extraction technique well suited to deal with illumination-changes, 3) a multiple-classifier specifically designed to discard false positives and 4) a novel method based on a featureless representation of the eye-patterns that further improves the face/non-face discrimination. The experimental results show that the system can localize faces in images with complex background, even in presence of strong illumination changes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
