The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Human face tracker is one of important research areas that is continuously developing. Many methods have been developed for performing an effective and efficient face tracker based system application. One category of the face tracker methods is the real-time face tracker, which is a challenging task in this field. This paper presents a real-time human face tracker development using facial feature...
Face detection and recognition is a hot research subject in the fields of image processing, pattern recognition and computer vision, which emphasize on the enhancement of the precision of detection in as short a time as possible. This paper expounds on how to detect human faces accurately from complex pictures by means of the technology of judgement based on the combination of the feature of Haar...
Face detection in computer vision and pattern recognition technology as an important Subject has high academic value and commercial value. Studies the face detection based on Adaboost algorithm, and presents a face detection method based on skin color and Adaboost algorithm. First transforms the input color images form RGB space to YCrCb space, then uses morphologic methods to make area skin segmentation,...
A reliable model for human skin is a significant need for a wide range of computer vision applications ranging from face detection, gesture analysis, content-based image retrieval systems, searching and filtering image content on the web, and to various human computer interaction domains. In this paper, a robust neural model for human skin recognition is first presented. Then, a fully automated neural...
In this paper, we describe a method to detect human fingers from images captured by a stereo camera. The images captured by the stereo camera are preprocessed by a skin detection module. Two hands are extracted from the skin regions using disparity information. We then apply grayscale morphology and use BLOB analysis to detect fingers and their directions. The method is simple yet powerful for finger...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.