TY - GEN
T1 - Illumination normalization for face recognition using the census transform
AU - Kim, Ji Hoon
AU - Park, Jong Geun
AU - Lee, Chulhee
PY - 2008
Y1 - 2008
N2 - A problem with face recognition is that lighting conditions can affect performance since facial features are easily distorted by varying illumination conditions. To address this problem, we present a new preprocessing method using the census transform. In the proposed method, we generate a number of binary values from the current pixel by comparing it with the neighbor pixels, and encode the binary values into a single gray scale image. Finally, we apply the principal component analysis (PCA) to the gray scale images. Experiments show that the proposed method provides promising results.
AB - A problem with face recognition is that lighting conditions can affect performance since facial features are easily distorted by varying illumination conditions. To address this problem, we present a new preprocessing method using the census transform. In the proposed method, we generate a number of binary values from the current pixel by comparing it with the neighbor pixels, and encode the binary values into a single gray scale image. Finally, we apply the principal component analysis (PCA) to the gray scale images. Experiments show that the proposed method provides promising results.
UR - http://www.scopus.com/inward/record.url?scp=45149130126&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45149130126&partnerID=8YFLogxK
U2 - 10.1117/12.776193
DO - 10.1117/12.776193
M3 - Conference contribution
AN - SCOPUS:45149130126
SN - 9780819469861
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging VI
T2 - Computational Imaging VI
Y2 - 28 January 2008 through 29 January 2008
ER -