Comparative Study: Face Recognition via the Correlation Filter Technique
Authors: 
Riwei Chen, Yan Yan, Min Liu, Hanzi WangAuthors Info & Claims
Pages 251 - 255
Abstract
Face recognition attracts much attention in various applications due to its non-intrusive nature and the widespread availability of digital cameras. Recently, the benefits of using spatial frequency domain representations for face recognition have drawn great interests from the computer vision and pattern recognition community. In this paper, we present a comparative study by using the correlation filter (CF) technique in the application of face recognition. We overview some representative correlation filters (CFs) proposed recently and analyze their respective pros and cons. Experiments using different types of CFs with different training parameters are conducted on public face databases to investigate the overall performance of the CF-based face recognition methods. The observations based on these experiments are expected to provide widely applicable guidelines for designing the face recognition systems via the CF technique.
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- Comparative Study: Face Recognition via the Correlation Filter Technique
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Information
Published In
July 2014
430 pages
ISBN:9781450328104
DOI:10.1145/2632856
- General Chairs:
- Hanzi Wang,
- Larry Davis,
- Program Chairs:
- Wenwu Zhu,
- Stephan Kopf,
- Yanyun Qu,
- Publications Chairs:
- Jun Yu,
- Jitao Sang,
- Tao Mei
Copyright © 2014 ACM.
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In-Cooperation
- NSF of China: National Natural Science Foundation of China
- Beijing ACM SIGMM Chapter
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 July 2014
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ICIMCS '14
ICIMCS '14: International Conference on Internet Multimedia Computing and Service
July 10 - 12, 2014
Xiamen, China
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Overall Acceptance Rate 163 of 456 submissions, 36%
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