1. A method of detecting a face using a pattern classifier having learned face images and near face images, the method comprising the steps of: (a) receiving a plurality of face images and a plurality of near-face images and extracting a plurality of face basis vectors expressing the face images and a plurality of near-face basis vectors expressing the near-face images; (b) extracting face feature vectors and near-face feature vectors by projecting the face images and the near-face images upon the face and near-face basis vectors; (c) classifying the face feature vectors and the near-face feature vectors into predetermined sub-classes; (d) training each pattern classifier corresponding to a certain sub-class using face feature vectors and near-face feature vectors, which are included in the subclass; and (e) extracting a feature vector of an image, which is input for face detection, applying the feature vector of the input image to a pattern classifier corresponding to a sub-class including the feature vector of the input image, and determining whether the input image is a face image using the pattern classifier.