This paper proposed a framework for estimating human age using facial features. These features exploit region information, such as wrinkles on the eye and cheek, which are then represented texture-based feature. Our has several steps: preprocessing, feature extraction, estimation. In this research, three extraction methods their combination performed, Local Binary Pattern (LBP), Phrase Quantiza...

h theoretical framework on 3D facial movement -timation for model-based i t n a p coding 1s presented IU this paper. 3D farinl movement tim mar ion la a r l i f ic~~l t prols [em to ~olve because both facld motion parameters and depth plrrametere are rpquirpd to egtlmate simultaneously. W h e n the conventional appraaches m ueed l o handle r h ~ s pmMem, ~ n ~ t i a l estimates of thc dcpth par...

We describe a method for estimating new facial views from a single 2D face image. A model has been generated which incorporates two facial views, a frontal view and a 30 degree rotated view. Appearance models for each view of shape and texture have been combined using further principal components analysis to form a multiple view model. Presented with a novel face image in a frontal view, we can...

Main purpose of this thesis is to study a facial feature based human head pose estimation. Especially the facial feature extraction methods suitable for a real-time system are considered. Based on the literature survey, an experimental head tracking and pose estimation system is implemented. An efficient method based on skin detection, gray-scale morphology and a geometrical face model are appl...

introduction: accurate estimation of gestational age (ga) early in pregnancy is necessary for obstetric care decisions and for determining fetal growth and other conditions that may need intervention or delivery. this study was aimed to compare m enstrual versus ultrasound scan-based gestational age estimates of ga in kermanshsh during 2004-2005. materials and methods: a diagnostic study was do...

This thesis describes a computer vision system for observing the “action units” of a face using video sequences as input. The visual observation (sensing) is achieved by using an optimal estimation optical flow method coupled with a geometric and a physical (muscle) model describing the facial structure. This modeling results in a time-varying spatial patterning of facial shape and a parametric...

For pose-varied color face image, this paper proposed a method of facial feature location and pose estimation based on an unsupervised sphere skin model and fused facial features. Firstly, an adaptive preprocessing, an established unsupervised sphere model and the holes filling technology were presented to extract the face. Then the difference feature and different local binary pattern textural...