智能相机:用于消费者图像中稳健人物识别的二维仿射模型

M. Ionita, P. Corcoran, I. Bacivarov
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引用次数: 2

摘要

在本文中,我们考虑了下一代智能相机将如何超越面部检测和跟踪,以开发更有用的分析工具,以确定图像中主体的表情和情绪。提出了利用主动外观模型(AAM)进行人脸识别的初步概念验证,该模型对姿态和光照变化具有鲁棒性。我们的初步结果非常令人鼓舞,并表明在下一代数码相机中加入专门的AAM将能够根据图像中的实际人物更准确地管理和分类个人图像集合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart cameras: 2D affine models for robust person recognition in consumer images
In this paper we consider how next generation smart cameras will move beyond face detection and tracking to develop more useful analysis tools for determining the expression and emotions of the subjects in images. An initial proof-of-concept using an Active Appearance Model (AAM) to perform face recognition which is robust to pose and illumination variations is presented. Our initial results are very encouraging and suggest that the incorporation of a specialized AAM within next generation digital cameras will enable more accurate management and sorting of personal image collections based on the actual persons in the images.
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