Referenced Items are not available for this document.
Synthetic discriminant functions have been used to locate objects irrespective of distortions and to estimate the extent of the distortion. It was recognized from the beginning that accurate estimates are only possible provided the training set is constructed carefully. We obtain conditions that will ensure the accuracy of the estimates. The conditions also suggest efficient ways of constructing the training sets and the results are extended to a wide class SDF-type filters. The theoretical results are illustrated with (idealized) examples and are also applied to the more realistic problem of accurate facial location.
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:24
,
Issue:
11
)
Date of Publication: Nov 2002
- Page(s):
- 1521 - 1528
- ISSN :
- 0162-8828
- INSPEC Accession Number:
- 7471347
- Digital Object Identifier :
- 10.1109/TPAMI.2002.1046173
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 26 February 2004
- Issue Date :
- Nov 2002
- Sponsored by :
- IEEE Computer Society
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