The ability to find the speaker face region in a video is important in various application areas. In this work, we develop a novel technique to find this region robustly against different views and complex backgrounds using gray images only. The main thrust of this technique is to integrate audiovisual correlation analysis into an image segmentation framework to extract the speaker face region....

This paper presents a robust approach for recognition of thermal face images based on decision level fusion of 34 di®erent region classi ̄ers. The region classi ̄ers concentrate on local variations. They use singular value decomposition (SVD) for feature extraction. Fusion of decisions of the region classi ̄er is done by using majority voting technique. The algorithm is tolerant against false excl...

A new method for real-time face localization from a streaming color video was developed. The method consisted of three stages. First, the face-like skin-colored image region was segmented from the background and transformed into the grey scale representation. Second, the cropped image was convolved with Sobel operator in order to extract local oriented edges at 16 orientations. The extracted lo...

Introduction: Ascraeus Mons is one of the three Tharsis Montes shield volcanoes that are aligned along a N40°E trend on the crest of the broad Tharsis Rise. Although largely constructed of volcanic deposits, each of the Tharsis Montes has a distinctive and unusual fan-shaped deposit extending approximately northwest on their western flanks. Three major facies have been identified within the fan...

In this paper algorithm to detects human facial features like the mouth, nose and eyes in a full frontal face image is proposed. The new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their corresponding geometrical point. This project presents and implements a facial feature point extraction and recognition method of facial expression an...

The aim of the present study was to develop a new method for fast localization of the face from streaming colour video. In the method, the face is located by analysing local properties of four facial landmarks, namely, regions of eyes, nose, and mouth. The method consists of three stages. First, the face-like skin-coloured image region is segmented from the background and transformed into the g...

In this paper, a real time face recognition for color image sequences is presented. The proposed algorithm applies three stages: a head region is estimated by the DCFR(Detection of Candidate for Face Regions) scheme in the first stage, the face region is searched inside the head region using the MCC(major color component) in the second stage and its faceness is tested by the TRFF (Topological R...