TY - GEN
T1 - The impact of changing resolutions on face recognition
AU - Huang, Panpan
AU - Wang, Yunhong
PY - 2008
Y1 - 2008
N2 - Many factors such as blurring effect, expression, illumination may affect the face recognition accuracy. In this paper, we focus our attention on the impact caused by resolution. In the video surveillance system, facial images in different resolutions may be detected, it is necessary for us to find out the impact of changing resolutions on different face recognition algorithms. A database has been collected of different facial images in different resolutions. Moreover, several experiments have been carried out to find the impact of changing resolutions on face recognition. We use the classical PCA, LDA and LBP method to extract the features and then use the nearest neighbor method to classify these facial images. Comparisons have been made among these classical algorithms in order to find out which method is the most effective in different resolutions. As a result, a confidence interval is obtained in which the algorithm performs much better than any other regions.
AB - Many factors such as blurring effect, expression, illumination may affect the face recognition accuracy. In this paper, we focus our attention on the impact caused by resolution. In the video surveillance system, facial images in different resolutions may be detected, it is necessary for us to find out the impact of changing resolutions on different face recognition algorithms. A database has been collected of different facial images in different resolutions. Moreover, several experiments have been carried out to find the impact of changing resolutions on face recognition. We use the classical PCA, LDA and LBP method to extract the features and then use the nearest neighbor method to classify these facial images. Comparisons have been made among these classical algorithms in order to find out which method is the most effective in different resolutions. As a result, a confidence interval is obtained in which the algorithm performs much better than any other regions.
UR - https://www.scopus.com/pages/publications/70350697842
U2 - 10.1109/ETTandGRS.2008.347
DO - 10.1109/ETTandGRS.2008.347
M3 - 会议稿件
AN - SCOPUS:70350697842
SN - 9780769535630
T3 - 2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
SP - 622
EP - 625
BT - 2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
PB - IEEE Computer Society
T2 - 2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing, ETT and GRS 2008
Y2 - 21 December 2008 through 22 December 2008
ER -