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首页> 外文期刊>The Visual Computer >A multi-modal approach for high-dimensional feature recognition Kushan Ahmadian; Marina Gavrilova
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A multi-modal approach for high-dimensional feature recognition Kushan Ahmadian; Marina Gavrilova

机译:高维特征识别的多模态方法Kushan Ahmadian;玛丽娜·加夫里洛娃(Marina Gavrilova)

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摘要

Over the past few decades, biometric recognition firmly established itself as one of the areas of tremendous potential to make scientific discovery and to advance state-of-the- art research in security domain. Hardly, there is a single area of IT left untouched by increased vulnerabilities, on-line scams, e-fraud, illegal activities, and event pranks in virtual worlds. In parallel with biometric development, which went from focus on single biometric recognition methods to multi-modal information fusion, another rising area of research is virtual world's security and avatar recognition. This article explores links between multi-biometric system architecture and virtual worlds face recognition, and proposes methodology which can be of benefit for both applications.
机译:在过去的几十年中,生物特征识别已牢固地确立为在安全领域进行科学发现和推动最新研究的巨大潜力之一。虚拟世界中的漏洞,在线欺诈,电子欺诈,非法活动和事件恶作剧不断增加,几乎没有一个IT领域可以幸免。与从单一生物识别方法到多模式信息融合的生物识别开发同时,虚拟世界的安全性和虚拟形象识别也是研究的另一个新兴领域。本文探讨了多生物学系统体系结构与虚拟世界人脸识别之间的联系,并提出了对两种应用都可能有益的方法。

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