An Efficient Filtering Method for Scalable Face Image Retrieval

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This paper presents a filtering method for efficient face image retrieval over large volume of face databases. The proposed method employs a new face image descriptor, called a cell-orientation vector (COV). It has a simple form: a 72-dimensional vector of integers from 0 to 8. Despite of its simplicity, it achieves high accuracy and efficiency. Our experimental results show that the proposed method based on COVs provides better performance than a recent approach based on identity-based quantization in terms of both accuracy and efficiency.
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Issue Date
2015-03
Language
English
Article Type
Article
Keywords

RECOGNITION

Citation

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E98D, no.3, pp.733 - 736

ISSN
1745-1361
DOI
10.1587/transinf.2014EDL8156
URI
http://hdl.handle.net/10203/200069
Appears in Collection
CS-Journal Papers(저널논문)
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