基于特征的人脸识别方法

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Pub Date : 1992-06-15 DOI:10.1109/CVPR.1992.223162

B. S. Manjunath, R. Chellappa, C. Malsburg

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引用次数: 387

摘要

提出了一种基于特征的人脸识别方法，该方法从强度数据中提取特征，而不需要假设人脸结构的任何知识。特征提取模型是生物驱动的，特征的位置通常对应于显著的面部特征，如眼睛、鼻子等。拓扑图用于表示特征之间的关系，利用基本结构的简单确定性图匹配方案用于从数据库中识别熟悉的面孔。系统中的各个阶段可以完全并行实现，实现实时识别。实验结果对一个128*128的图像，非常小的噪声进行了评估。

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A feature based approach to face recognition

A feature-based approach to face recognition in which the features are derived from the intensity data without assuming any knowledge of the face structure is presented. The feature extraction model is biologically motivated, and the locations of the features often correspond to salient facial features such as the eyes, nose, etc. Topological graphs are used to represent relations between features, and a simple deterministic graph-matching scheme that exploits the basic structure is used to recognize familiar faces from a database. Each of the stages in the system can be fully implemented in parallel to achieve real-time recognition. Experimental results for a 128*128 image with very little noise are evaluated.<>

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Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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