一种基于jetsontk1的进化人脸识别算法的实现

M. Salhi, Atef Alaaeddine Sarraj, H. Amiri
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引用次数: 1

摘要

本文旨在为Jetson TK1上人脸识别算法的视觉计算实现做出贡献。这个强大的工具是NVIDIA的嵌入式Linux开发平台,具有Tegra K1 SOC,该SOC在单个芯片中包含CPU, GPU和ISP。Tegra K1“一级”比之前的Tegra 2“二级”要快得多,是ARM世界中效率最高的GPU。这种特殊性增加了我们在执行策略和人脸识别算法上所做的一些优化,使我们在实时系统RTS中获得了良好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of an Evolutionary Facial Recognition Algorithm on JETSON TK 1
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.
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