01511nas a2200241   4500000000100000000000100001008004100002260001200043653001300055653002300068653002400091653002200115100001800137700002200155700002000177700002500197245008500222856009800307300001000405490000600415520083400421022001401255       2016                            d  c12/201610aPatterns10aFacial recognition10aSupervised Learning10aAugmented Reality1 aYoussef Hbali1 aLahoucine Ballihi1 aMohammed Sadgal1 aEl Fazziki Abdelaziz00aFace Detection for Augmented Reality Application Using Boosting-based Techniques  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/11/ijimai20164_2_4_pdf_92526.pdf  a22-280 v43 aAugmented reality has gained an increasing research interest over the few last years. Customers requirements have become more intense and more demanding, the need of the different industries to re-adapt their products and enhance them by recent advances in the computer vision and more intelligence has become a necessary. In this work we present a marker-less augmented reality application that can be used and expanded in the e-commerce industry. We take benefit of the well known boosting techniques to train and evaluate different face detectors using the multi-block local binary features. The work purpose is to select the more relevant training parameters in order to maximize the classification accuracy. Using the resulted face detector, the position of the face will serve as a marker in the proposed augmented reality.  a1989-1660