You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
All SFM programs can't detect enough features and do feature matching. So OpenCV MVG can't work for these images. But I know the camera parameters for these images. how to use OpenMVS to do 3d reconstruction?
The text was updated successfully, but these errors were encountered:
wguo68
changed the title
how to DensifyPointCloud with a few image with know camera extrinsic and intrinsic parameters?
how to DensifyPointCloud with a few image with known camera extrinsic and intrinsic parameters?
Feb 23, 2017
You can't, cause you need also a sparse point cloud. Send me the images and the extrinsics and I'll try to create a project for you. In the future the code can be modified to work without sparse point cloud.
@wguo68 You can use OpenMVG to generate the initial point cloud and then use the OpenMVG2OpenMVS and then run OpenMVS tool.
You will need to initialize the 3d scene in the OpenMVG format (sfm_data.json) => Setup a view for each image, intrinsics and extrinsic. Then run the feature extraction and then run ComputeStructureFromKnowPoses that will look for the corresponding point accross your images and triangulate the good one.
All SFM programs can't detect enough features and do feature matching. So OpenCV MVG can't work for these images. But I know the camera parameters for these images. how to use OpenMVS to do 3d reconstruction?
The text was updated successfully, but these errors were encountered: