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Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96)
Information Theoretic View-Based and Modular Face Detection
Killington, Vermont
October 14-October 16
ISBN: 0-8186-7713-9
ASCII Text
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Michael S. Lew, "Information Theoretic View-Based and Modular Face Detection," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 198, Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96), 1996.
 
 
BibTex
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@article{ 10.1109/AFGR.1996.557264,
author = {Michael S. Lew},
title = {Information Theoretic View-Based and Modular Face Detection},
journal ={Automatic Face and Gesture Recognition, IEEE International Conference on},
volume = {0},
year = {1996},
isbn = {0-8186-7713-9},
pages = {198},
doi = {http://doi.ieeecomputersociety.org/10.1109/AFGR.1996.557264},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Automatic Face and Gesture Recognition, IEEE International Conference on
TI - Information Theoretic View-Based and Modular Face Detection
SN - 0-8186-7713-9
SP
EP
A1 - Michael S. Lew,
PY - 1996
VL - 0
JA - Automatic Face and Gesture Recognition, IEEE International Conference on
ER -
 
This paper describes information theoretic methods for the determination of the optimal subset of pixels for the problem of face detection in complex backgrounds. A view-based method is described, which has limitations due to misalignments. This motivates the modular feature based method which minimizes the misalignment problem. Empirical comparisons between the view-based, modular, and sum of squared difference methods are made using four databases from three universities.
Citation:
Michael S. Lew, "Information Theoretic View-Based and Modular Face Detection," fg, pp.198, Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96), 1996
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