| 摘要 |
<p>A method of processing an image comprising the steps of: locating within the image the position of at least one predetermined feature; extracting from said image data representing each said feature; and calculating for each feature a feature vector representing the position of the image data of the feature in an N-dimensional space, said space being defined by a plurality of reference vectors each of which is an eigenvector of a training set of like features in which the image data of each feature is modified to normalise the shape of each feature thereby to reduce its deviation from a predetermined standard shape of said feature, which step is carried out before calculating the corresponding feature vector.</p> |
