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Over twenty years of eigenfaces

Published:17 October 2013Publication History
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Abstract

The inaugural ACM Multimedia Conference coincided with a surge of interest in computer vision technologies for detecting and recognizing people and their activities in images and video. Face recognition was the first of these topics to broadly engage the vision and multimedia research communities. The Eigenfaces approach was, deservedly or not, the method that captured much of the initial attention, and it continues to be taught and used as a benchmark over 20 years later. This article is a brief personal view of the genesis of Eigenfaces for face recognition and its relevance to the multimedia community.

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          • Published in

            cover image ACM Transactions on Multimedia Computing, Communications, and Applications
            ACM Transactions on Multimedia Computing, Communications, and Applications  Volume 9, Issue 1s
            Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
            October 2013
            218 pages
            ISSN:1551-6857
            EISSN:1551-6865
            DOI:10.1145/2523001
            Issue’s Table of Contents

            Copyright © 2013 ACM

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 17 October 2013
            • Received: 1 May 2013
            • Accepted: 1 May 2013
            Published in tomm Volume 9, Issue 1s

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