Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
Citations
9,658 citations
Cites background or methods from "Eigenfaces vs. Fisherfaces: recogni..."
...One class of methods extracts holistic face features such as Eigenfaces[23], Fisherfaces [ 24 ], and Laplacianfaces [25]....
[...]
...high-dimensional test image into lower dimensional feature spaces: examples include Eigenfaces [23], Fisherfaces [ 24 ], Laplacianfaces [25], and a host of variants [26], [27]....
[...]
...the other features because the maximal number of valid Fisherfaces is one less than the number of classes k [ 24 ], 38 in this case....
[...]
...Subspace models are flexible enough to capture much of the variation in real data sets and are especially well motivated in the context of face recognition, where it has been observed that the images of faces under varying lighting and expression lie on a special low-dimensional subspace [ 24 ], [30], often called a face subspace....
[...]
6,384 citations
5,742 citations
5,027 citations
4,318 citations
References
14,948 citations
14,562 citations
"Eigenfaces vs. Fisherfaces: recogni..." refers background or methods in this paper
...Since these eigenvectors have the same dimension as the original images, they are referred to as Eigenpictures in [6] and Eigenfaces in [7], [8]....
[...]
...A technique now commonly used for dimensionality reduction in computer vision—particularly in face recognition—is principal components analysis (PCA) [14], [17], [6], [7], [8]....
[...]
...The Eigenface method is also based on linearly projecting the image space to a low dimensional feature space [6], [7], [8]....
[...]
...Furthermore, we assume that the face has been located and aligned within the image, as there are numerous methods for finding faces in scenes [21], [22], [20], [23], [24], [25], [7]....
[...]
...In the sections to follow, we compare four methods for face recognition under variation in lighting and facial expression: correlation, a variant of the linear subspace method suggested by [3], the Eigenface method [6], [7], [8], and the Fisherface method developed here....
[...]
14,009 citations
"Eigenfaces vs. Fisherfaces: recogni..." refers methods in this paper
...Our method Fisherfaces, a derivative of Fisher’s Linear Discriminant (FLD) [4], [ 5 ], maximizes the ratio of between-class scatter to that of within-class scatter....
[...]
...We should point out that Fisher’s Linear Discriminant is a “classical” technique in pattern recognition [4], first developed by Robert Fisher in 1936 for taxonomic classification [ 5 ]....
[...]
...Fisher’s Linear Discriminant (FLD) [ 5 ] is an example of a class specific method, in the sense that it tries to “shape” the scatter in order to make it more reliable for...
[...]
13,647 citations