Recently, fast neural networks for object/face detection were presented in [1-3]. The speed up factor of these networks based on cross correlation in the frequency domain between the input image and the weights of the hidden layer. But, these equations given in [1-3] for conventional and fast neural networks are not valid for many reasons presented here. In this paper, correct equations for cro...

The faces of other people are a critical information source for young children. During early development, children undergo significant postural and locomotor development, changing from lying and sitting infants to toddlers who walk independently. We used a head-mounted camera in conjunction with a face-detection system to explore the effects of these changes on children’s visual access to their...

In Computer Mediated Communication such as desktop video conferencing, static video cameras provide a restricted field of view of remote sites. The effective field of view can be enlarged, while maintaining the user's freedom of movement, by slaving a remote controlled camera to movements of the user's head. This paper concerns techniques for tracking of faces. We demonstrate that robustness an...

The face detection is process of detecting region of face from a picture of one or multiple persons together. The detected face is extracted in the proposed using the viola-Jones algorithm. The viola-Jones algorithm is considered effective in order to mark and extract the face features. The proposed model is using the correlation model for the purpose of the face recognition. The face recogniti...

Extreme uplift associated with the formation of the 2.02 Ga Vredefort dome has exposed a substantial cross section through the crystalline early Archean basement complex rocks of the Kaapvaal craton. The rocks comprise polydeformed high-grade tonalite–trondhjemite–granodiorite (TTG) gneisses, migmatites and late-tectonic intrusive granitoids that straddle the upper amphibolite-to granulite–faci...

BACKGROUND Configural processing in face recognition is a sensitivity to the spacing between facial features. It has been argued both that its presence represents a high level of expertise in face recognition, and also that it is a developmentally vulnerable process. METHOD We report a cross-syndrome investigation of the development of configural face recognition in school-aged children with ...

105 www.erpublication.org Abstract— Template Matching is a high level machine-vision technique that identifies a specific part of an image that matches a predefined template image. Template matching is an essential task in image processing in many applications, including remote sensing, computer vision, medical imaging, and industrial inspection. In Template matching, small object is compared t...

Biometrics provide the possibility of unique and convenient authentication. As its application areas grow rapidly, the problems, such as identity fraud and cross matching, threaten the security of biometric systems. Moreover, privacy concerns are associated with biometrics. In this paper we focus on privacy enhancing techniques for biometric systems, which can protect biometric information and ...

Facial expressions are important cues to observe human emotions. The thesis studies the involuntary type of facial expressions called micro-expressions. Micro-expressions are quick facial motions, appearing in high stake and stressful situations, typically when a subject tries to hide his or her emotions. Two attributes are present fast duration and low intensity. A simple detection method is p...

We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter framework. The filter performs sampled projections of 3D location hypotheses and scores them using features from both audio and video. On the video side, the features are based on foreground segmentation, multi-view fa...