positional tracking

所属分类:Linux/Unix编程
开发工具:C/C++
文件大小:25KB
下载次数:7
上传日期:2018-11-20 11:40:01
上 传 者梦的蓝天
说明:  使用ZED双目相机实现目标追踪,并建立三维场景图。
(Using ZED binocular camera to achieve target tracking, and create three-dimensional scene map.)

文件列表:
positional tracking (0, 2018-10-14)
positional tracking\CMakeLists.txt (1453, 2018-09-22)
positional tracking\include (0, 2018-10-14)
positional tracking\include\TrackingViewer.hpp (6324, 2018-09-22)
positional tracking\include\ZEDModel.hpp (81734, 2018-09-22)
positional tracking\src (0, 2018-10-14)
positional tracking\src\TrackingViewer.cpp (21590, 2018-09-22)
positional tracking\src\main.cpp (7165, 2018-09-22)

# Stereolabs ZED - Positional Tracking This sample shows how to track camera motion in space and display it in an OpenGL window. It demonstrates how to: - Get position and orientation of the device using the API - Select your coordinate system, frames and units - Tranform pose data at the center of the camera - Write pose data and timestamps in a CSV file - Display camera motion in an OpenGL window ## Getting started - First, download the latest version of the ZED SDK on [stereolabs.com](https://www.stereolabs.com). - For more information, read the ZED [API documentation](https://www.stereolabs.com/developers/documentation/API/). ### Prerequisites - Windows 7 ***bits or later, Ubuntu 16.04 - [ZED SDK](https://www.stereolabs.com/developers/) and its dependencies ([CUDA](https://developer.nvidia.com/cuda-downloads)) ## Build the program #### Build for Windows - Create a "build" folder in the source folder - Open cmake-gui and select the source and build folders - Generate the Visual Studio `Win***` solution - Open the resulting solution and change configuration to `Release` - Build solution #### Build for Linux Open a terminal in the sample directory and execute the following command: mkdir build cd build cmake .. make ## Run the program - Navigate to the build directory and launch the executable file - Or open a terminal in the build directory and run the sample : ./ZED_Motion_Tracking You can optionally provide an SVO file path (recorded stereo video of the ZED). *NOTE:* ZED camera tracking is based on stereo vision only. Quick and sudden camera movements can be difficult to track if the image is too blurry or there is no visual information in the scene. To improve tracking performance, we recommend using the ZED in HD720 mode at 60fps.

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