Face recognition by elastic bunch graph matching
Face recognition by elastic bunch graph matching
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DOI：
10.1109/34.598235
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发表时间：
1997-07-01
影响因子：
23.6
通讯作者：
vonderMalsburg, C
中科院分区：
文献类型：
--
作者：
Wiskott, L;Fellous, JM;vonderMalsburg, C
我们提出了一个系统，用于识别人脸从单个图像出一个大型数据库，每个人包含一个图像。基于Gabor小波变换，用标记图表示人脸。新面孔的图像图通过弹性图匹配过程提取，并且可以通过简单的相似性函数进行比较。该系统在三个方面不同于前一个[1]。相位信息用于精确的节点定位。对象自适应图用于处理深度上的大旋转。图像图提取是基于一种新的数据结构，束图，这是从一个小的样本图像图的集合构造。
We present a system for recognizing human faces from single images out of a large database containing one image per person. Faces are represented by labeled graphs, based on a Gabor wavelet transform. Image graphs of new faces are extracted by an elastic graph matching process and can be compared by a simple similarity function. The system differs from the preceding one [1] in three respects. Phase information is used for accurate node positioning. Object-adapted graphs are used to handle large rotations in depth. Image graph extraction is based on a novel data structure, the bunch graph, which is constructed from a small set of sample image graphs.