Locating facial feature in face images is an important stage for numerous facial image applications such as face recognition, face expression recognition and face tracking and lip reading. In this paper, we present a robust method for detecting facial feature points in frontal face images. The method adopts face detection algorithm of Viola-Jones face detector. The facial regions are than extracted by applying Haar feature based Adaboost algorithm for detecting eye, nose and mouth regions. Finally, template matching and several image processing techniques are utilized to detect feature points. Experiment on the IMM database, CVL database and our laboratory database is carried out to demonstrate and verify the proposed method.
Household appliances need to meet electromagnetic compatibility standards. We have developed a system to detect, observe and monitor magnetic field strength generated from electrical components and household appliances. The system comprises of an array of Hall Effect sensors, a video camera and a computer. Using the proposed system, magnetic field strength of tested device can be captured and displayed in a three dimensional surface map. Several examples are demonstrated to capture and observe the magnetic field strength of tested devices.
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