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Face Match for Family Reunification: Real-World Face Image Retrieval

Face Match for Family Reunification: Real-World Face Image Retrieval

Eugene Borovikov, Szilard Vajda, Michael Gill
Copyright: © 2017 |Volume: 7 |Issue: 2 |Pages: 17
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781522514404|DOI: 10.4018/IJCVIP.2017040102
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MLA

Borovikov, Eugene, et al. "Face Match for Family Reunification: Real-World Face Image Retrieval." IJCVIP vol.7, no.2 2017: pp.19-35. http://doi.org/10.4018/IJCVIP.2017040102

APA

Borovikov, E., Vajda, S., & Gill, M. (2017). Face Match for Family Reunification: Real-World Face Image Retrieval. International Journal of Computer Vision and Image Processing (IJCVIP), 7(2), 19-35. http://doi.org/10.4018/IJCVIP.2017040102

Chicago

Borovikov, Eugene, Szilard Vajda, and Michael Gill. "Face Match for Family Reunification: Real-World Face Image Retrieval," International Journal of Computer Vision and Image Processing (IJCVIP) 7, no.2: 19-35. http://doi.org/10.4018/IJCVIP.2017040102

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Abstract

Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.

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