vc++的动画程序，非常棒

Abstract We present a component-based, trainable system for detecting frontal and near-frontal views of faces in still gray images. The system consists of a two-level hierarchy of Support Vector Machine (SVM) classifiers. On the first level, component classifiers independently detect components of a face. On the second level, a single classifier checks if the geometrical configuration of the detected components in the image matches a geometrical model of a face. We propose a method for automatically learning components by using 3-D head models. This approach has the advantage that no manual interaction is required for choosing and extracting components. Experiments show that the componentbased system is significantly more robust against rotations in depth than a comparable system trained on whole face patterns.

vtk user guide中文版第六章 图像及三维体数据的可视化-vtk user guide Chinese version of Chapter VI of the image and three-dimensional volume data visualization

判断一个点是否在一个区域内-judge whether a point is in a region

三维图象处理软件,有visual c++写成的 里面还有图象分割,形态学处理-3D image processing software, a visual c there is also written in image segmentation, morphological processing

利用MFC和OpenGL制作了一个基于菜单的图形应用程序，能够使用菜单绘制圆，直线，矩形，并且能够使用鼠标拾取并且拖动，还可以通过键盘控制选择物体的转动-Using MFC and OpenGL has produced a menu-based graphical applications, can use the menu draw circles, straight lines, rectangles, and can use the mouse to pick up and drag, you can also select using the keyboard and rotating objects

本为图形学中区域填充算法-graphics for the regional filling algorithm

一个简单的等值线绘制程序，效果一般，原理可以参考一下-Isogram a simple drawing program, the effect of the general principle for reference

用Prewitt算子检测图像的边缘,用不同σ值的LoG算子检测图像的边缘,用Canny算子检测图像的边缘,将图像分为文字和非文字的两个类别等等 -Edge detection using Prewitt edge of the image with different σ values LoG edge detection image edge detection using Canny operator the edge of the image, text and images are divided into two categories, and so on

一个绘制文本的例子，适合初学者进行学习研究。-An example of drawing text, suitable for beginners to study.

用adoost实现方法，进行人脸识别-With adoost implementation method for face recognition! ! ! ! ! ! ! ! ! ! ! ! ! ! !