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Using Discriminant Eigenfeatures for Image Retrieval
August 1996 (vol. 18 no. 8)
pp. 831-836
ASCII Text
x 
 
Daniel L. Swets, John (Juyang) Weng, "Using Discriminant Eigenfeatures for Image Retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 831-836, August, 1996.
 
 
BibTex
x
 
@article{ 10.1109/34.531802,
author = {Daniel L. Swets and John (Juyang) Weng},
title = {Using Discriminant Eigenfeatures for Image Retrieval},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {18},
number = {8},
issn = {0162-8828},
year = {1996},
pages = {831-836},
doi = {http://doi.ieeecomputersociety.org/10.1109/34.531802},
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 - Using Discriminant Eigenfeatures for Image Retrieval
IS - 8
SN - 0162-8828
SP831
EP836
EPD - 831-836
A1 - Daniel L. Swets,
A1 - John (Juyang) Weng,
PY - 1996
KW - Principal component analysis
KW - discriminant analysis
KW - eigenfeature
KW - image retrieval
KW - feature selection
KW - face recognition
KW - object recognition
KW - content-based image retrieval.
VL - 18
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—This paper describes the automatic selection of features from an image training set using the theories of multidimensional discriminant analysis and the associated optimal linear projection. We demonstrate the effectiveness of these Most Discriminating Features for view-based class retrieval from a large database of widely varying real-world objects presented as "well-framed" views, and compare it with that of the principal component analysis.

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Index Terms:
Principal component analysis, discriminant analysis, eigenfeature, image retrieval, feature selection, face recognition, object recognition, content-based image retrieval.
Citation:
Daniel L. Swets, John (Juyang) Weng, "Using Discriminant Eigenfeatures for Image Retrieval," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 831-836, Aug. 1996, doi:10.1109/34.531802
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