Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature extraction algorithms fail for low resolution images which do not contain sufficient facial details. In this paper, a region-based superresolution aided facial feature extraction method for low resolution video sequences is des...

In this paper, we present a robust face tracking system for video indexing and retrieval. Our face tracker is designed based on the condensation algorithm. The strength of our face tracking system is in the incorporation of Lucas-Kanade feature tracker in the measurement stage of condensation. Skin color and facial feature points are used for tracking. The pros and cons of using color and facia...

This paper proposes a novel adaptive algorithm to extract facial feature points automatically such as eyebrows corners, eyes corners, nostrils, nose tip, and mouth corners in frontal view faces, which is based on cumulative histogram approach by varying different threshold values. At first, the method adopts the Viola-Jones face detector to detect the location of face and also crops the face re...

This paper presents a user interactive system that manages, with minimum user interaction, to locate a set of characteristic feature points in the frontal view of a person’s face. The proposed method is user adaptive and is implemented as a combination of a classification-based facial region extraction technique with a transition based facial feature extraction method. Thus, a feed-forward neur...

Automatic recognition of facial expressions is an important component for human-machine interfaces. It has lot of attraction in research area since 1990's.Although humans recognize face without effort or delay, recognition by a machine is still a challenge. Some of its challenges are highly dynamic in their orientation, lightening, scale, facial expression and occlusion. Applications are in the...

In this paper, we present a method to robustly recognize facial expressions with different head poses in a monocular video. Existing methods for simultaneously handling head pose variations and facial expressions are based on tracking features on a face mesh model. However, these feature-based methods requre troublesome preparation steps such as manually selecting feature points or complex face...

AAM has been successfully applied to face alignment, but its performance is very sensitive to initial values. In case the initial values are a little far distant from the global optimum values, there exists a pretty good possibility that AAM-based face alignment may converge to a local minimum. In this paper, we propose a progressive AAM-based face alignment algorithm which first finds the feat...

The six basic facial expressions (anger, disgust, fears, happy, sadness, surprise) which have been recognized in psychology are commonly used for facial expressions recognition research. In this work, we propose intuitive and effective facial features to recognize the six facial expressions by modifying the original facial feature points used by the original Active Appearance Model (AAM). The S...