Photogrammetry

This page shows some example tree layouts that can be used for various photogrammetry tasks. Note that tracking jobs can often be completed using various different combinations of nodes. The trees described below are for illustrative purposes only, and are not necessarily the only way each type of task can be completed.

Photo survey and mesh construction

This example shows how to use the Photo Survey node to survey a scene from a set of photographs, create a dense point cloud using the Photo Cloud node, and the a triangular mesh using the Photo Mesh node

1. Photo Input node to load photos.
2. Photo Survey node to match the photographs and solve for camera positions and a sparse point cloud.
3. Orient Camera node to orient the cameras and ground plane
4. Photo Cloud node to generate a depth map for each photo, and convert the depth maps into a dense point cloud
5. Photo Mesh node to convert the dense point cloud int a high resolution triangular mesh, and then simplify it to the desired triangle count
6. Scene Export node to save the camera positions and triangular mesh to disk.

Tracking moving cameras into a surveyed scene

This example shows how to use the Match Camera node to track multiple moving camera shots into a scene that has been surveyed with photographs using the Photo Survey node.

1. Photo Input node to load photos.
2. Photo Survey node to match the photographs and solve for camera positions and a sparse point cloud
3. Orient Camera node to orient the cameras and ground plane
4. Match Camera node with the photogrammetry dataset attached to the first input, and the movie clips to the other inputs. Each movie clip is be tracked into the photogrammetry scene.
5. Scene Export node to save the photgrammetry cameras and the tracked movie cameras to disk.