Using Discriminant Eigenfeatures for Image Retrieval
نویسندگان
چکیده
|This paper describes the automatic selection of features from an image training set using the theories of multi-dimensional linear discriminant analysis and the associated optimal linear projection. We demonstrate the eeectiveness 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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ورودعنوان ژورنال:
- IEEE Trans. Pattern Anal. Mach. Intell.
دوره 18 شماره
صفحات -
تاریخ انتشار 1996