vc++中实现视图分割,图象显示

通过重复使用一小块顶点缓冲来减少对内存的需求，将CPU从逐帧的顶点缓冲更新中释放出来-Through the repeated use of a small vertex buffer to reduce the demand for memory will be the culmination of CPU from the frame buffer update released

椭球体的碰撞检测。在以人形为主的场景内椭球体的碰撞精度比球体、AABB、OBB都要高，同时速度也很快-Ellipsoid collision detection. Human-oriented in the scene of the collision within the ellipsoid accuracy than the sphere, AABB, OBB higher speed quickly at the same time

一个人脸检测及匹配的代码-a face detection and matching code

ROAM Simplistic Implementation By Bryan Turner brturn@bellsouth.net January, 2000 Project file for MS Visual C++ 6.0. Requires GLUT DLL (www.opengl.org) Adjust program constants in Landscape.h and Utility.cpp. MAPS: Default map is read from HeghtXXX.raw where XXX is the MAP_SIZE (as defined in Landscape.h). If this map is not found, the program attempts to open "Map.ved", a Tread Marks map file. Tread Marks maps will only work for MAP_SIZE == 1024. Also, the MULT_SCALE to view Tread Marks maps correctly is "0.25f". (www.TreadMarks.com) CONTROLS: MOUSE - Hold Left Mouse Button to Rotate View Angle Q - Change Rendering Mode (Wireframe, Lit, Fill, Texture) O - Change View Mode (Observe, Follow, Drive, Fly) W/S - Move forward/back A/D - Rotate left/right (in Observe Mode only) F - Stop Animation R - Toggle Frustum Drawing 0/9 - More/Less Triangles per frame 1/2 - Adjust FOV-ROAM Simplistic Implementation By Bryan Tur

Harris Corner Detection Implementation

基于OPenGl的对姿态的估计,该算法能够很好的对下一时刻的姿态进行估计。-the motion track based on pose using the opengl

图像增强 灰度变换增强 空域滤波增强 频域增强 色彩增强 小波增强 -Enhanced gray-scale image enhancement transform spatial filter to enhance the frequency domain to enhance color enhanced wavelet enhanced

一个使用matlab语言的图像的分类方法-a Matlab language used in the image classification

MIT人工智能实验室的目标识别的源码，MATLAB版本的，非常适合计算机视觉方面的研究使用。-MIT artificial intelligence laboratory identification of the target source code, version of the MATLAB, very suitable for computer vision of study.

图像处理，包括图像变换。图像增强。图像复原，图像重建，图像分割，图像编码等内容-image processing, including image transformation. Image enhancement. Image restoration, image reconstruction, image segmentation, image coding content