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| M. Kirby, L. Sirovich, "Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, no. 1, pp. 103-108, January, 1990. | |||
| BibTex | x | ||
| @article{ 10.1109/34.41390, author = {M. Kirby and L. Sirovich}, title = {Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {12}, number = {1}, issn = {0162-8828}, year = {1990}, pages = {103-108}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.41390}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces IS - 1 SN - 0162-8828 SP103 EP108 EPD - 103-108 A1 - M. Kirby, A1 - L. Sirovich, PY - 1990 KW - pattern recognition; Karhunen-Loeve procedure; human faces; natural symmetries; mirror images; Karhunen-Loeve expansion; eigenfunctions; covariance matrix; eigenvalues and eigenfunctions; matrix algebra; pattern recognition VL - 12 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion. This results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix, without increasing the complexity of the calculation. The resulting approximation of faces projected from outside of the data set onto this optimal basis is improved on average.
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