New approach to facial expression classification——Manhattan distance
Junhua Li, Peng Li · Computer Engineering and Applications Journal · 2008
The paper is presented a new method of facial expression classification.It’s called Manhattan distance.Manhattan distance yields a higher value for pairs of objects that are less similar to one another.The author compares Manhattan distance with Euclidean distance and COS distance in the experiment.The performance of Manhattan distance is better than other methods.