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数字图像处理的一个简单示例,一个简单的印章生成软件。-Digital image processing a simple example, a simple seal generation software.

一个基于gobar变换算法进行指纹识别的程序实现-Gobar transform-based fingerprint recognition algorithm procedures realize

摄像头不能正常工作!请检查后，再试!"摄像头不能正常工作-camera normal work! Please check, and try again! "The first camera was not working properly

有意义的两维数据图像类-meaningful two-dimensional image data type

如何运用D3D中的精灵来绘制2D图形,3D做2D的基础-How to use the wizard to D3D rendering 2D graphics, 3D make the basis of 2D

c++ source this src is best c++ source please check it-c source this src is best source please che c ck it

Graph matching (GM) is a fundamental problem in computer science, and it plays a central role to solve correspondence problems in computer vision. GM problems that incorporate pairwise constraints can be formulated as a quadratic assignment problem (QAP). Although widely used, solving the correspondence problem through GM has two main limitations: (1) the QAP is NP-hard and difficult to approximate; (2) GM algorithms do not incorporate geometric constraints between nodes that are natural in computer vision problems. To address aforementioned problems, this paper proposes factorized graph matching (FGM). FGM factorizes the large pairwise affinity matrix into smaller matrices that encode the local structure of each graph and the pairwise affinity between edges. Four are the benefits that follow from this factorization: (1) There is no need to compute the costly (in space and time) pairwise affinity matrix; (2) The factorization allows the

彩色图像人脸高光区域的自动检测与校正方法，本文提出的方法能有效检测不同人的脸形特征-Color Image Face regional high-automatic detection and correction method, the proposed method can effectively detect the different characteristics FACE

很简单 图形学实验 请多多指教 不足的地方请发E――MAIL给我 -experiment is very simple graphics you will enlighten the inadequacies of the requests made E-- Thank you for giving me MAIL

很好的样条曲线绘制程序，学习绘图的可以用-good spline curves procedures, the study Mapping can be used