{"title":"Implementation of an Evolutionary Facial Recognition Algorithm on JETSON TK 1","authors":"M. Salhi, Atef Alaaeddine Sarraj, H. Amiri","doi":"10.6025/jmpt/2019/10/1/1-17","DOIUrl":null,"url":null,"abstract":"This paper aims to contribute in visual computing over the implementation of face recognition algorithms on Jetson TK1. This powerful tool is a NVIDIA’s embedded Linux development platform featuring a Tegra K1 SOC which contains a CPU, a GPU and an ISP in a single chip. The Tegra K1 ‘class one’ is very faster than the former Tegra 2 ‘class two’ and is the most efficient GPU in the ARM world. This particularity added to some optimizations we have made on implementation strategy and on recognition face algorithms conduct us to reach good results in real time systems RTS.","PeriodicalId":226712,"journal":{"name":"J. Multim. Process. Technol.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Multim. Process. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6025/jmpt/2019/10/1/1-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper aims to contribute in visual computing over the implementation of face recognition algorithms on Jetson TK1. This powerful tool is a NVIDIA’s embedded Linux development platform featuring a Tegra K1 SOC which contains a CPU, a GPU and an ISP in a single chip. The Tegra K1 ‘class one’ is very faster than the former Tegra 2 ‘class two’ and is the most efficient GPU in the ARM world. This particularity added to some optimizations we have made on implementation strategy and on recognition face algorithms conduct us to reach good results in real time systems RTS.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
