An Efficient Filtering Method for Scalable Face Image Retrieval

Deokmin HAAM  Hyeon-Gyu KIM  Myoung-Ho KIM  

IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.3   pp.733-736
Publication Date: 2015/03/01
Publicized: 2014/12/11
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8156
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
face image retrieval,  face detection,  image filtering,  inverted index,  cell-orientation vector,  

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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.