Partially Occluded Facial Image Retrieval Based on a Similarity Measurement
Joint Authors
Park, Sohee
Lee, Hansung
Yoo, Jang-Hee
Kim, Geonwoo
Kim, Soonja
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
We present a partially occluded facial image retrieval method based on a similarity measurement for forensic applications.
The main novelty of this method compared with other occluded face recognition algorithms is measuring the similarity based on Scale Invariant Feature Transform (SIFT) matching between normal gallery images and occluded probe images.
The proposed method consists of four steps: (i) a Self-Quotient Image (SQI) is applied to input images, (ii) Gabor-Local Binary Pattern (Gabor-LBP) histogram features are extracted from the SQI images, (iii) the similarity between two compared images is measured by using the SIFT matching algorithm, and (iv) histogram intersection is performed on the SIFT-based similarity measurement.
In experiments, we have successfully evaluated the performance of the proposed method with the commonly used benchmark database, including occluded facial images.
The results show that the correct retrieval ratio was 94.07% in sunglasses occlusion and 93.33% in scarf occlusion.
As such, the proposed method achieved better performance than other Gabor-LBP histogram-based face recognition algorithms in eyes-hidden occlusion of facial images.
American Psychological Association (APA)
Park, Sohee& Lee, Hansung& Yoo, Jang-Hee& Kim, Geonwoo& Kim, Soonja. 2015. Partially Occluded Facial Image Retrieval Based on a Similarity Measurement. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073258
Modern Language Association (MLA)
Park, Sohee…[et al.]. Partially Occluded Facial Image Retrieval Based on a Similarity Measurement. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073258
American Medical Association (AMA)
Park, Sohee& Lee, Hansung& Yoo, Jang-Hee& Kim, Geonwoo& Kim, Soonja. Partially Occluded Facial Image Retrieval Based on a Similarity Measurement. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073258
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073258