B. G okberk, L. Akarun, E. Alpaydn Computer Engineering Dept. Bo gazici...  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 have designed a feature based pose estimation and face recognition system using 2D Gabor wavelets as local feature information. The difference of our system from the existing ones lies in its simplicity and its intelligent sampling of local features. Intelligent feature selection can be carried out by... (Update)
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BibTeX entry: (Update)
@misc{ alpaydn-feature,
author = "Okberk Akarun Alpaydn",
title = "Feature Selection For Pose Invariant Face Recognition",
url = "citeseer.ist.psu.edu/738612.html" }
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