Recognition B. Gkberk, L. Akarun, E. Alpaydn Dept. of Computer Engineering,...  Home/Search
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Abstract: One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work, we use a variation of Gabor wavelet transform for the representation of human face images to efficiently solve the pose estimation problem. Parameters of the Gabor wavelets, namely frequency and orientation, are adjusted to gain better performance. Principal Component Analysis is performed to reduce the... (Update)
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BibTeX entry: (Update)
@misc{ akarun-gabor,
author = "Recognition Gkberk Akarun",
title = "Gabor Wavelet Based Pose Estimation For Face",
url = "citeseer.ist.psu.edu/742708.html" }
Citations (may not include all citations):338 View-based and Modular Eigenspaces for Face Recognition - Pentland, Moghaddam - 1994
83 Linear Object Classes and Image Synthesis from a Single Exam.. - Vetter - 1997
76 Face Recognition Under Varying Pose - Beymer - 1993
15 Face Recognition Based on Depth Maps and Surface Curvature (context) - Gordon - 1991
1 Two-Stage Approach for Pose Invariant Face Recognition (context) - Demir, Akarun et al. - 2000
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