Authors:
Ben George
Stuart J. Gibson
Matthew I.S. Maylin
Christopher J. Solomon
University of Kent, Canterbury, United Kngdm
Summary:
Method to identify a suspect from a list of pictures and generating composites from the images. The users repeats this process till a satisfactory image composite is generated. The features of the face are first divided into landmark points(X) and gestures(G). PCA is run over each of them to find the eigenvectors for each face and the mean vector for the space. A combined X,G vector is then formed for each image and PCA is run over the data which give Q - eigenvector for the combined data and c - vector of appearance / model parameters. A composite can be generated out of Q and c. Composites are then generated based on the a genetic algorithm called SMM - Select , multiply, mutate. The identified face is first cloned and multiplied by 8. Then each of the 8 faces are mutated and a face is generated. The user then repeats these steps till a satisfied likeness is got.
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