基于有源立体传感器的人脸和手势识别系统

S. Malassiotis, F. Tsalakanidou, N. Mavridis, V. Giagourta, N. Grammalidis, M. Strintzis
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引用次数: 27

摘要

本文提出了几种新的三维图像分析算法,应用于人脸和手的分割和建模。这些随后被用于构建基于人脸的认证系统和基于静态和动态手势的人机交互系统。该系统依赖于一个主动立体传感器,该传感器使用结构光方法来获取3D信息。在本文中,我们展示了如何使用3D信息可以显着提高仅使用2D图像的传统面部和手势识别技术的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A face and gesture recognition system based on an active stereo sensor
The paper presents several novel 3D image analysis algorithms, applied towards the segmentation and modeling of faces and hands. These are subsequently used to build a face-based authentication system and a system for human-computer interaction based on static and dynamic gestures. The system relies on an active stereo sensor that uses a structured light approach to obtain 3D information. In this paper we demonstrate how the use of 3D information may significantly improve the efficiency of traditional face and gesture recognition techniques that use 2D images only.
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