1. Face Detection M993010095 方科植

2. Method To detect front face, a face sketch is fetched and used to determine the real front face, and the sketch is processed through out the whole graph. Step1: binarize both the image and the sketch from RGB images to grey level image. Step2: pass through the whole graph, and compare the mask(sketch) with a certain part of the image. If they match each other more than 80%, a front face is detected.

3. Result Mask: Mask face shape takes an important rule in detecting real faces, so some real front faces are not detected. Only front face mask is used in this homework, so side faces are not detected.

4. Discussion The precision and recall of detecting face by the proposed method depend heavily on the mask we chose. An improvement to the current method could be a combination of several iterations. In each iteration we chose a different mask image form other iterations and will obtain an image with some detected faces on. Then conduct “OR” operation on these images, that is, if a face is detected in one of the images, that face is considered real face.