Expression features selection based on rough set
Jianming Zhang · Computer Engineering and Applications Journal · 2010
In order to resolve the problem that the feature vector dimension is too high,rough set attribute reduction algorithm applied in expression features selection is advanced.It can acquire local expression features vectors using geometrical feature points method.Rough set theory is introduced,and the local expression features are optimized and selected with an attribute reduction algorithm of rough set.Redundant features and irrelated information to expression classification are also eliminated.Experimental results show that this method can be realized simply.High recognition rate and speed also indicate the effect of this facial expression features selection.