Using multi-instance enrollment to improve performance of 3D face recognition
This paper explores the use of multi-instance enrollment as a means to improve the
performance of 3D face recognition. Experiments are performed using the ND-2006 3D face
data set which contains 13,450 scans of 888 subjects. This is the largest 3D face data set
currently available and contains a substantial amount of varied facial expression. Results
indicate that the multi-instance enrollment approach outperforms a state-of-the-art
component-based recognition approach, in which the face to be recognized is considered …
performance of 3D face recognition. Experiments are performed using the ND-2006 3D face
data set which contains 13,450 scans of 888 subjects. This is the largest 3D face data set
currently available and contains a substantial amount of varied facial expression. Results
indicate that the multi-instance enrollment approach outperforms a state-of-the-art
component-based recognition approach, in which the face to be recognized is considered …