Face sketch recognition

Authors:
Xiaoou, Tang
Xiaogang, Wang

Summary:
To compare geometric features in ideal condition, a fiducial grid model is designed. 35 fiducial grid points are identified.
The eigenface method uses Karhunen–Loeve Transform (KLT) transform to transform images to vectors. This gives a highly compressed representation of images but when compared with sketches, the distance between vectors of same image may be larger than the vectors of different images. To overcome this difficulty, the images are first transformed to sketches and KLT is performed on them. Once the face image is converted to a sketch then comparison sketch is done using the eigenface method. The face to sketch comparison works better than theface image comparison with sketch (ordinary eigenface method) and geometry method.

Discussion:
This method needs training data to calculate the average and weight vectors of each image. We cannot afford this in IcanDraw since we have just one sketch drawn by user and the photo.