视觉slam opencv

视觉SLAM（Simultaneous Localization and Mapping）是一种通过感知环境并同时定位自身位置的技术。OpenCV是一个计算机视觉库，可以用于处理图像和视频数据。在配置视觉SLAM的过程中，您需要在CMakeLists.txt文件中添加以下内容：

cmake_minimum_required(VERSION 2.8)
find_package(OpenCV REQUIRED)
find_package(Pangolin REQUIRED)
set(CMAKE_CXX_FLAGS "-std=c++11")

add_executable(slam_opencv slam_opencv.cpp)
target_link_libraries(slam_opencv ${OpenCV_LIBS} ${Pangolin_LIBRARIES})

在这个配置中，我们首先指定了CMake的版本要求，然后通过`find_package`命令找到了OpenCV和Pangolin库。然后，我们设置了C++11的编译标准，并创建了一个名为slam_opencv的可执行文件。最后，我们使用`target_link_libraries`命令将OpenCV和Pangolin库链接到可执行文件中。

请注意，上述代码仅为示例代码，您需要根据实际情况进行适当修改和调整。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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