TY - JOUR
T1 - Implementation of Missing Data Imputation Schemes in Face Recognition Algorithm under Partial Occlusion
AU - Appati, Justice Kwame
AU - Adu-Manu, Kofi Sarpong
AU - Owusu, Ebenezer
N1 - Publisher Copyright:
© 2022 Justice Kwame Appati et al.
PY - 2022
Y1 - 2022
N2 - Face detection and recognition algorithms usually assume an image captured from a controlled environment. However, this is not always the case, especially in crowd control under surveillance or footage from a crime scene, where partial occlusions are unavoidable. Unfortunately, these occlusions have an adverse effect on the performance of these classical recognition algorithms. In this study, the performance of some selected data imputation schemes is evaluated on SVD/PCA frontal face recognition algorithm. The experiment was done on two datasets: Jaffe and MIT-CBCL, with immediate confirmation of the adverse effect of occlusion on the facial algorithm without implementing the imputation scheme. Further experimentation shows that IA is an ideal missing data imputation scheme that works best with the SVD/PCA facial recognition algorithm.
AB - Face detection and recognition algorithms usually assume an image captured from a controlled environment. However, this is not always the case, especially in crowd control under surveillance or footage from a crime scene, where partial occlusions are unavoidable. Unfortunately, these occlusions have an adverse effect on the performance of these classical recognition algorithms. In this study, the performance of some selected data imputation schemes is evaluated on SVD/PCA frontal face recognition algorithm. The experiment was done on two datasets: Jaffe and MIT-CBCL, with immediate confirmation of the adverse effect of occlusion on the facial algorithm without implementing the imputation scheme. Further experimentation shows that IA is an ideal missing data imputation scheme that works best with the SVD/PCA facial recognition algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85133166006&partnerID=8YFLogxK
U2 - 10.1155/2022/7374550
DO - 10.1155/2022/7374550
M3 - Article
AN - SCOPUS:85133166006
SN - 1687-5680
VL - 2022
JO - Advances in Multimedia
JF - Advances in Multimedia
M1 - 7374550
ER -