| Summary: | 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 94 === In this thesis a face reconginition based on 2D/3D facial features is addressed. A digital camera is set up to capture a video sequence of a rotating human face. First of all, a conventional frame difference technique is applied to detect the face region in each image. Then, the face region is further partitioned into skin and hair (non-skin) parts based on the color information. Facial features including corners of eyes and mouth, and ear contours are automatically extracted. After the correspondences of facial feature points are determinated, the 3D Euclidean facial feature points can be computed. Through the alignment of the two sets of the facial basis points in 3D space, the similarity between the two faces can be calculated according to the average distance between all the 2D/3D facial feature points.
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