资源列表
Learning_material_OpenCV
- 北京大学OpenCV的自学材料 ，非常全面！互相学习啊！-OpenCV Peking University self-study materials, very comprehensive! Learn from each other ah!
tiqusift
- 提取sift特征(extract sift feature)
OpenCV-self
- opencv的自学材料，北京大学的ppt，挺不错的。讲的比较初级。-opencv self-study materials, Peking University, ppt, very good. Comparison of the primary stresses.
b
- opencv学习课件，老师给的，非常实用，大部分是基础内容-opencv learning courseware, teacher gave very practical, most content
Lab10Supp
- texture mapping 教程, opengl c-texture mapping tutorial
3D_tutos
- Step by step to learn 3d graphics
LargeLOD(code)
- 基于 LOD 的大规模真实感室外场景实时渲染技术的初步研究,关于LOD相当不错的文章,是入门的好材料.(这个是它的源码,可惜少了点东西,没法编译,不过不影响观看,代码是齐全的)
VC-MATLAB
- 共有十二章，每章都含有丰富的案例。包括图像点运算，图像变换，图像增强，图像分割，模式匹配，目标跟踪等大量的VC与MATLAB源码-A total of 12 chapters, each rich in both cases. Point operations, including image, image transformation, image enhancement, image segmentation, pattern matching, target tracking, such
EDLinesTest
- EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (E
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- 复杂背景下车牌定位算法的研究，灰度化，二值化，按颜色特征分割出车牌-Research on complex background plate positioning algorithm, graying, binarization, characterized by color segmentation of license plates
ydpd
- 对图片中运动的物体，进行检测，里面有详细的程序方法，分解成每一步-Movement of objects on the picture, were detected, there are detailed procedures and methods, broken down into each step
shouxieshouzirecognition
- 基于vc++的手写数字识别系统，包括模板匹配，Bayes分类，神经网络分类等算法-Vc++ based on the handwritten numeral recognition system, including template matching, Bayes classification, neural network classification algorithm