资源列表
head-estimation
- 主要用于人体的头部姿态识别，主要包括头部的左偏或右偏，前移或者后移等。本文件中主要包括PDF论文和对应的源代码，可以直接运行看到结果的。-Head gesture recognition is mainly used in the human body, including the head left or right, forward or backward, and so on. This file is mainly including PDF paper and the correspo
SFMToolkit3_0520
- bundler程序 可用于多张图片生成点云数据 点云数据为.ply格式 点云有颜色属性-O : increase point size (point cloud) P : decrease point size (point cloud) space : switch dense/sparse point cloud C : toggle camera plane visibility
FracTree
- MFC下实现三种不同的2D分形树，颜色内可调-MFC to achieve three different 2D fractal tree, color, adjustable
9261_WINCE5.0_DEMO
- 一个嵌入式WINCE5.0的DEMO+演示程序。-An embedded WINCE5.0 the DEMO+ Demo program.
chap10
- 首先这个程序是针对彩色图像进行处理的，实现了图像的放大缩小和旋转 解压即可运行-First, the program is processed for color images to achieve a zoom and rotate the image decompression can be run
OpenGL_Graphics_Through_Applications.pdf
- Robert Whitrow OpenGL Graphics Through Applications
Calnumofsheet
- 这段代码主要是用于连通性的处理，输入一幅灰度图像，程序将其转化为二值图像，并根据设定的联通阈值进行连通个数的统计。-This code is mainly used for the handling of connectivity, input a grayscale image, the program will convert it into binary images, and in accordance with thresholds set Unicom, the number of
framemarkers-2-0-7
- 高通增强现实源代码This Vuforia (TM) sample code provided in source code form (the "Sample Code") is made available to view for reference purposes only. If you would like to use the Sample Code in your software application, you must first download the Vuforia
tuxingtianchong
- 图形填充，单击画图形，双击后在封闭图形内填充图案-The graphics filled, click painted graphics, double-click in the closed graphics fill pattern
newtexturesegmentation
- 这是一些新的纹理分割描述方面的最新论文，希望能对一些同行有所帮助-This is some new texture segmentation describe the latest paper, the hope can help to some counterparts
test4
- 单高斯背景建模方法 检测视频中的运动物体 配置环境vs2012+opencv2.0-Vs2012+opencv2.0 moving object configuration environment single Gauss background modeling method detection in video
img_encoding
- Discrete Cosine Transform (DCT) and quantization are two critical parts in image encoding. By discussing how coefficients retaining and quantization step selection influence the quality of the reconstructed image, this homework helps to understand th