鲁棒面部动作识别实时3D流

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2009-06-20 DOI:10.1109/CVPRW.2009.5204281

F. Tsalakanidou, S. Malassiotis

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引用次数: 27

摘要

本文介绍了一种完全自动化的面部动作和面部表情识别系统，该系统利用结构光传感器实时记录的2D + 3D图像。它基于局部特征跟踪和基于规则的几何、外观和表面曲率测量分类。在相对不受控制的条件下取得良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust facial action recognition from real-time 3D streams

This paper presents a completely automated facial action and facial expression recognition system using 2D + 3D images recorded in real-time by a structured light sensor. It is based on local feature tracking and rule-based classification of geometric, appearance and surface curvature measurements. Good performance is achieved under relatively non-controlled conditions.

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来源期刊

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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