Optical and digital information processing

近年来，我们的研究主要集中在不受方向、尺度、三维旋转、光照和其他畸变影响的模式识别方面。在此，我们提出了一些扩展研究的新方法。在这个程序的许多部分的一个关键概念是矢量空间的方法来图像表示和处理。将获得不受光照影响的相关峰的非线性局部自适应相关滤波方法扩展到人脸识别中，并将向量空间方法扩展到局部光照变化下图像不变性的变化检测。我们还与工业界合作，将我们以前的一些研究应用于安全应用，使用循环谐波滤波器。在与国防部的合作中，我们将开发相关技术的使用以及用于数据挖掘目的的形态学处理。将相关技术与形态学处理相结合，将产生更强大的图像处理技术。

Much of our research over recent years has been oriented towards pattern recognition invariant to changes of orientation, scale, 3-D rotations, illumination and other distortions. Here we propose to extend this research and some new approaches. A key concept in many parts of this program is a vector space approach to image representation and processing. The nonlinear locally adaptive correlation filter methods developed to obtain correlation peaks invariant to illumination are being extended to face recognition, and we are extending the vector space approach to change detection in images invariant under local changes of illumination. We are also working in collaboration with industry towards practical applications of some of our previous research using circular harmonic filters for security applications. In collaboration with the defense Department, we will develop the use of correlation techniques along with morphological processing for data mining purposes. Combination of correlation techniques with morphological processing should lead to some more powerful image processing techniques.