Person identification based on multiscale matching of cortical images

机译：基于皮质图像多尺度匹配的人员识别

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摘要

A set of so-called cortical images, motivated by the function of simple cells in the primary visual cortex of mammals, is computed from each of two input images and an image pyramid is constructed for each cortical image. The two sets of cortical image pyramids are matched synchronously and an optimal mapping of the one image onto the other image is determined. The method was implemented on the Connection Machine CM-5 of the University of Groningen1 in the data-parallel programming model and applied to the problem of face recognition.

机译：从两个输入图像的每一个中计算出一组所谓的皮质图像，这些图像是由哺乳动物的初级视觉皮层中的简单细胞的功能所激发的，并且为每个皮质图像构建一个图像金字塔。两组皮质图像金字塔同步匹配，并确定一个图像在另一图像上的最佳映射。该方法在数据并行编程模型中在格罗宁根大学1的Connection Machine CM-5上实现，并应用于人脸识别问题。

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《High-performance computing and networking》|1995年|420-427|共8页
会议地点 Milan(IT);Milan(IT)
作者
P. Kruizinga; N. Petkov;
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作者单位

Centre for High Performance Computing and Department of Computing Science University of Groningen P.O. Box 800, 9700 AV Groningen, The Netherlands;

Centre for High Performance Computing and Department of Computing Science University of Groningen P.O. Box 800, 9700 AV Groningen, The Netherlands;

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原文格式 PDF
正文语种 eng
中图分类 TQ4;
关键词
optical flow; multiscale resolution; person identification; data-parallel programming; connection machine CM-5;

机译：光流多尺度分辨率人员识别；数据并行编程；连接机CM-5;

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Person identification based on multiscale matching of cortical images

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