Face Recognition Oak Ridge (FaRO): A Framework for Distributed and Scalable Biometrics Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The facial biometrics community has seen a recent abundance of high-accuracy facial analytic models become freely available. Although these models' capabilities in facial detection, landmark detection, attribute analysis, and recognition are ever-increasing, they aren't always straightforward to deploy in a real-world environment. In reality, the use of the field's ever growing collection of models is becoming exceedingly difficult as library dependencies update and deprecate. Researchers often encounter headaches when attempting to utilize multiple models requiring different or conflicting software packages. Face Recognition Oak Ridge (FaRO) is an open-source project designed to provide a highly modular, flexible framework for unifying facial analytic models through a compartmentalized plug-and-play paradigm built on top of the gRPC (Google Remote Procedure Call) protocol. FaRO's server-client architecture and flexible portability allows easy construction of modularized and heterogeneous face analysis pipelines, distributed over many machines with differing hardware and software resources. This paper outlines FaRO's architecture and current capabilities, along with some experiments in model testing and distributed scaling through FaRO.

Original languageEnglish
Title of host publicationIJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191867
DOIs
StatePublished - Sep 28 2020
Event2020 IEEE/IAPR International Joint Conference on Biometrics, IJCB 2020 - Virtual, Online, United States
Duration: Sep 28 2020Oct 1 2020

Publication series

NameIJCB 2020 - IEEE/IAPR International Joint Conference on Biometrics

Conference

Conference2020 IEEE/IAPR International Joint Conference on Biometrics, IJCB 2020
Country/TerritoryUnited States
CityVirtual, Online
Period09/28/2010/1/20

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