Luiz Eduardo S. e Silva, Pedro Donadio de T. Junior, Kenny V. dos Santos and Waldir S. S. Junior, Federal University of Amazonas, Brazil

Currently, there is a growing interest from the scientific and/or industrial community in respect to methods that offer solutions to the problem of fiducial points detection in human faces. Some methods use the SVM for classification, but we observed that some formulations of optimization problems were not discussed. In this article, we propose to investigate the performance of mathematical formulation C-SVC when applied in fiducial point detection system. Futhermore, we explore new parameters for training the proposed system. The performance of the proposed system is evaluated in a fiducial points detection problem. The results demonstrate that the method is competitive.

Pattern Recognition, SVM, Fiducial Points & Parameter Grid