Feature extraction and representation are critical in facial expression recognition. The facial features can be extracted from either static images or dynamic image sequences. However, static images may not provide as much discriminative information as dynamic image sequences. On the other hand, from the feature extraction point of view, geometric features are often sensitive to the shape and r...

the human facial recognition is the base for all facial processing systems. in this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.the proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. inaddition, to do face...

This paper describes algorithms for face and facial features detection in still frontal images. It is designed for the task of automatic image-based 3-D face modelling. This requires the detection to be accurate enough to produce exact facial features and robust to images of widely varying quality and picture taking conditions. The facial feature detection task is solved in several steps. First...

While features used for texture analysis have been successfully used in some biometric applications, only quite few works have considered them in facial image analysis. Texture-based region descriptors can be very useful in recognizing faces and facial expressions, detecting faces and different facial components, and in other face related tasks. This paper demonstrates this issue by considering...

We developed a system for automatic generation of caricatures by analyzing unique facial features of the subject. The proposed face model contains 119 parameters derived from the MPEG-4 standard. These nodes are categorized into 8 groups with a pre-defined hierarchy to guide the placement of face components after shape exaggeration. Given an input image, the system determines which and how the ...

This thesis aims at building a system capable of automatically extracting and parameterizing the position of a face and its features in images acquired from a lowend monocular camera. Such a challenging task is justified by the importance and variety of its possible applications, ranging from face and expression recognition to animation of virtual characters using video depicting real actors. T...

Four types of facial pigmented skin lesions (FPSLs) constitute diagnostic challenge to dermatologists; early seborrheic keratosis (SK), pigmented actinic keratosis (AK), lentigo maligna (LM), and solar lentigo (SL). A retrospective analysis of dermoscopic images of histopathologically diagnosed clinically-challenging 64 flat FPSLs was conducted to establish the dermoscopic findings correspondin...

In this work, a methodology for classifying emotions (such as happiness, anger and surprise) based on face images is proposed. This methodology consist of three stages: in the pre-processing stage, edge detectors and threshold algorithms are used in order to find edge information about ROIs; in the second stage (feature extraction) numeric information of pre-processing images is extracted via i...

OBJECTIVE Māori patients are often inappropriately treated using Caucasian norms, despite obvious differences in facial morphology. There is currently very little data concerning the nature and/or magnitude of these differences in facial features. The objective of the present study was therefore to evaluate the facial features of Māori and New Zealand (NZ) Europeans. METHODS Two convenience s...

The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...