使用 openCV 示例进行 3d 表面重建
我正在尝试使用 OpenCV 示例文件从立体配置执行 3D 表面重建。我用 2 个网络摄像头创建了一个立体摄像头。我已经使用stereo_calib.cpp（ https://code.ros.org/trac/opencv/browser/trunk/opencv/samples/cpp/stereo_calib.cpp?rev=4086 ）并使用stereo_match生成点云。 .cpp（https://code.ros.org /trac/opencv/browser/trunk/opencv/samples/c/stereo_match.cpp?rev=2614 ）。使用 MeshLab 打开的结果点云根本不像原始场景 ( http:// img707.imageshack.us/i/snapshot01u.png/ ）。
我在这里缺少什么？
重新创建的步骤：
- stereo_calib（在图像所在的同一文件夹中，没有参数，因此假定为默认值）
- stereo_match left01.jpg right01.jpg -i insides.yml -e extrinsics.yml -p cloud.asc
- import cloud.asc on网格实验室
谢谢
I am trying to perform a 3D surface reconstruction from a stereo configuration with OpenCV example files. I have created a stereo camera from 2 web cams. I have obtained the calibration parameters using stereo_calib.cpp ( https://code.ros.org/trac/opencv/browser/trunk/opencv/samples/cpp/stereo_calib.cpp?rev=4086 ) and generated a point cloud with stereo_match.cpp ( https://code.ros.org/trac/opencv/browser/trunk/opencv/samples/c/stereo_match.cpp?rev=2614 ). The resulting point cloud, opened with MeshLab doesn't resemble the original scene at all ( http://img707.imageshack.us/i/snapshot01u.png/ ).
What am I missing here?
Steps to recreate:
- stereo_calib (on the same folder where the images are, with no arguments so it assumes default)
- stereo_match left01.jpg right01.jpg -i intrinsics.yml -e extrinsics.yml -p cloud.asc
- import cloud.asc on MeshLab
Thanks
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