Covariance descriptor based on bio-inspired features for person re-identification and face verification ?
This paper proposes a novel person/face image representation. The representation avoids the use of body segmentation or image normalization. The representation relies on the combination of BIF and Covariance descriptor. The representation can handle background and illumination variations. The matching rate at rank 1 on VIPeR is 31.11% and the accuracy on LFW is 84.48%.
covariance descriptor person re-identification face verification image representation biologically inspired features