因为opencv3.0默认安装中没有加入SIFT、SURF等点特征检测，一百度下一跳，原来这玩意还弄了个其他的库，还只能在GitHub上才能弄到，这两天弄opencv3的contrib库，遇到了一些问题，为了让大家更好、更快用上contrib库，根据谷歌百度的几个问题，现分享给大家完整流程，也欢迎大家与我讨论其他opencv方面的问题。

一、下载安装准备

　　下载对应版本的以上软件：opencv3.0.0可以直接解压，我的路径为D:\opencv3，解压完成后会生成D:\opencv3\opencv的目录形式。

　　github软件会在线直接安装，在桌面可以直接使用Git Shell ，($ cd D:\CVRS_Code\GitHub  也可以设定opencv_contrib下载的其他路径），输入以下命令下载opencv_contrib到指定目录。　

1 D:\CVRS_Code\GitHub> git clone https://github.com/Itseez/opencv_contrib.git

　　cmake_gui 软件直接安装。OK，现在准备工作就绪。

二、利用CMake编译opencv和opencv_contrib库

打开cmake_gui.

把opencv/source文件夹中的CMakeLists.txt文件直接拖入cmake_gui中，，where is the source code自动选择opencv的安装目录为D:\opencv3\opencv\source.

更改where to build the binaries 目录，即我们将要编译的目录，我的是：D:\opencv3\opencv\Mybuild

点击configure，点击确定，选择默认编译器，点击finish。cmake将开始进行编译，如果一切顺利将最后显示Configure Done!表明我们configure完成，在出现的红色区域内找到OPENCV，子目录中找到OPENCV_EXTRA_MODULES_PATH，设置它的值为opencv_contrib/modules的绝对路径，在这里我的设置为D:\opencv3\opencv\sources\modules\opencv_contrib\modules（之前把opencv_contrib放在source文件夹外面，编译不成功，所以这里只介绍我的方法）。

可以再红色区域内再次去掉BUILD_OPENCV 和WITH_CUDA等有些硬件不支持的库，再次点击configure,正常情况会成功显示Configure Done! 然后点击Generate生成。

三、利用VS编译Debug和Release库

打开D:\opencv3\opencv\mybuild目录下的OpenCV.sln

在CMake Target中找到 INSTALL ，在Debug和Release的条件中分别右键选择build，生成debug和release库，这个过程大概持续10-20分钟。

我们会在D:\opencv3\opencv\Mybuild\install文件夹中看到这几个文件目录

--bin --etc --include --opencv --opencv2 --x86 --vc10 --bin --lib --staticlib --LICENSE --OpenCVConfig.cmake --OpenCVConfig-version.cmake

四、Windows和VS中配置Opencv3

添加环境变量PATH D:\opencv3\opencv\Mybuild\install\x86\vc10\bin ,记得多个需要用分号（;）隔开。

任意建立一个新的工程，打开视图（View）->Other Windows->Property Manager。点击Debug，双击Microsoft.Cpp.Win32.user，在其中设置：(以下设置完成之后，重复2的操作，选择Release,同样方式设置Microsoft.Cpp.Win32.user)

VC++目录-->包含目录，添加：

D:\opencv3\opencv\Mybuild\install\include

D:\opencv3\opencv\Mybuild\install\include\opencv

D:\opencv3\opencv\Mybuild\install\include\opencv2

VC++目录-->库目录，添加：
        D:\opencv3\opencv\Mybuild\install\x86\vc10\lib

链接器-->输入-->附加依赖项，添加：

opencv_aruco300d.lib
opencv_bgsegm300d.lib
opencv_bioinspired300d.lib
opencv_calib3d300d.lib
opencv_ccalib300d.lib
opencv_core300d.lib
opencv_dnn300d.lib
opencv_face300d.lib
opencv_features2d300d.lib
opencv_flann300d.lib
opencv_highgui300d.lib
opencv_imgcodecs300d.lib
opencv_imgproc300d.lib
opencv_line_descriptor300d.lib
opencv_ml300d.lib
opencv_objdetect300d.lib
opencv_optflow300d.lib
opencv_photo300d.lib
opencv_reg300d.lib
opencv_rgbd300d.lib
opencv_saliency300d.lib
opencv_shape300d.lib
opencv_stereo300d.lib
opencv_stitching300d.lib
opencv_superres300d.lib
opencv_surface_matching300d.lib
opencv_video300d.lib
opencv_videoio300d.lib
opencv_videostab300d.lib
opencv_xfeatures2d300d.lib
opencv_ximgproc300d.lib
opencv_xobjdetect300d.lib
opencv_xphoto300d.lib
opencv_aruco300.lib
opencv_bgsegm300.lib
opencv_bioinspired300.lib
opencv_calib3d300.lib
opencv_ccalib300.lib
opencv_core300.lib
opencv_dnn300.lib
opencv_face300.lib
opencv_features2d300.lib
opencv_flann300.lib
opencv_highgui300.lib
opencv_imgcodecs300.lib
opencv_imgproc300.lib
opencv_line_descriptor300.lib
opencv_ml300.lib
opencv_objdetect300.lib
opencv_optflow300.lib
opencv_photo300.lib
opencv_reg300.lib
opencv_rgbd300.lib
opencv_saliency300.lib
opencv_shape300.lib
opencv_stereo300.lib
opencv_stitching300.lib
opencv_superres300.lib
opencv_surface_matching300.lib
opencv_video300.lib
opencv_videoio300.lib
opencv_videostab300.lib
opencv_xfeatures2d300.lib
opencv_ximgproc300.lib
opencv_xobjdetect300.lib
opencv_xphoto300.lib

五、遇到相关问题及解决方法

1.在cmake第二次进行编译时候，可能出现了cmake报错：