Colour Feature Selection for Face Authentication.
Mohammad Taghi Sadeghi, Samaneh Khoshrou, Josef Kittler · 2007
We address the problem of fusing colour information for face authentication. The performance of a face verification system in different colour spaces is experimentally studied first. The verification process is based on the normalised correlation measure within the LDA feature space. A sequential search approach which is in principle similar to the ”plus L and take away R ” algorithm is then applied in order to find an optimum subset of the colour spaces. Using the proposed method, the performance of the system is considerably improved as compared to the intensity space. The proposed colour fusion scheme also outperforms the best colour space in different conditions. 1