Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection Export

@article{citeulike:1015249, abstract = {We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a high-dimensional space. We takeadvantage of the observation that the images of a particular face, under varying illumination but fixed pose, lie in a 3-D linear subspace of the high dimensional image space -- if the face is a Lambertian surface without shadowing....}, author = {Belhumeur, Peter N. and Hespanha, Joao and Kriegman, David J.}, citeulike-article-id = {1015249}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3247}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, keywords = {pca, recognition}, number = {7}, pages = {711--720}, posted-at = {2006-12-26 18:20:17}, priority = {0}, title = {Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3247}, volume = {19}, year = {1997} }

TY - JOUR ID - citeulike:1015249 L3 - citeulike-article-id:1015249 N2 - We develop a face recognition algorithm which is insensitive to gross variation in lighting direction and facial expression. Taking a pattern classification approach, we consider each pixel in an image as a coordinate in a high-dimensional space. We takeadvantage of the observation that the images of a particular face, under varying illumination but fixed pose, lie in a 3-D linear subspace of the high dimensional image space -- if the face is a Lambertian surface without shadowing.... IS - 7 JF - IEEE Transactions on Pattern Analysis and Machine Intelligence EP - 720 TI - Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection VL - 19 SP - 711 KW - pca KW - recognition AU - Belhumeur, Peter AU - Hespanha, Joao AU - Kriegman, David PY - 1997/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3247 ER -