A Statistical Method for 2-D Facial Landmarking

Robust facial landmarking for registration

Facial Landmarking Localization for Emotion Recognition Using Bayesian Shape Models

This work presents a framework for emotion recognition, based in facial expression analysis using Bayesian Shape Models (BSM) for facial landmarking localization. The Facial Action Coding System (FACS) compliant facial feature tracking based on Bayesian Shape Model. The BSM estimate the parameters of the model with an implementation of the EM algorithm. We describe the characterization methodol...

A Statistical Method for Sequential Images – Based Process Monitoring

Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...

3-D facial expression representation using statistical shape models

In the recent years, some research efforts have been made in facial expression representation and recognition for human-computer interaction (HCI) systems, video conferencing and augmented reality, biometrics and medical applications. Most of the current facial expression representation methods are 2-D image based. Inherently these methods have difficulty in handling large head pose variations,...

A new classification method based on pairwise SVM for facial age estimation

This paper presents a practical algorithm for facial age estimation from frontal face image. Facial age estimation generally comprises two key steps including age image representation and age estimation. The anthropometric model used in this study includes computation of eighteen craniofacial ratios and a new accurate skin wrinkles analysis in the first step and a pairwise binary support vector...