Antifaces: a novel, fast method for image detection
Keren, D.
Osadchy, M.
Gotsman, C.
Dept. of Comput. Sci., Haifa Univ.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 2001
Volume: 23,
Issue: 7
On page(s): 747-761
ISSN: 0162-8828
References Cited: 34
CODEN: ITPIDJ
INSPEC Accession Number: 6994991
Digital Object Identifier: 10.1109/34.935848
Current Version Published: 2002-08-07
Abstract
This paper offers a novel detection method, which works well even
in the case of a complicated image collection. It can also be applied to
detect 3D objects under different views. The detection problem is solved
by sequentially applying very simple filters (or detectors), which are
designed to yield small results on the multitemplate (hence antifaces),
and large results on “random” natural images. This is
achieved by making use of a simple probabilistic assumption on the
distribution of natural images, which is borne out well in practice.
Only images which passed the threshold test imposed by the first
detector are examined by the second detector, etc. The detectors are
designed to act independently so that their false alarms are
uncorrelated; this results in a false alarm rate which decreases
exponentially in the number of detectors. The algorithm's performance
compares favorably to the well-known eigenface and support vector
machine based algorithms, but is substantially faster
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