‘Tutorial Series 1’
The Pixel Farm
Enterprise Bundle Outline

Includes All 3 Tutorial Levels

Starter Level Bundle:
Introduction to PFTrack

• Setting up the project and importing the footage.

  In this first video we will explore quickly some of the new features in PFtrack 2017. We will also see how to set our first PFTrack project and we’ll see how to use the “Estimate Focal” Node.

• The auto tracking and manual tracking tools.

  Now we can go ahead and start tracking our footage. We will explore the “Auto track” and “user track” nodes. We will see how to set both of them correctly.

• The camera solver.

  In this video we will take the 2D info and solve the camera. We will also se how to work with the “orient scene” node.

• Test objects and exporting.

  After fine tuning the auto trackers we will now use manual trackers that will help us covering areas that the auto tracks didn’t cover.

• Maya Setup.

  In this video we will see how to setup the Maya file correctly with the proper undistorted footage.

• The sett fitting.

  In this last video we will see how to use simple geometry in order to determine the proper perspective within Maya’s 3D space.

Regular Level Bundle:
Image Modelling in PFTrack 2017

• Setting up the project and importing the footage.

  In this video we will set the project first and then bring in the provided footage . We will let PFTrack determine the footage properties due to lack of info.

• The auto tracking and manual tracking tools.

  In this video we will work with the “estimate focal” node and the “image Enhancements” node. We will try to figure out the proper focal length and we’ll try to improve the footage quality.

• Working with the auto track and the masks.

  Now we are going to work with the auto track but we will also use a mask to cover an area that might throw off the tracking process.

• The “User Track” Node.

  After fine tuning the auto trackers we will now use manual trackers that will help us covering areas that the auto tracks didn’t cover.

• Solving the camera.

  In this video we will solve the camera and we will also test the camera solver node in order to see if it can figure out the focal length without the “estimate focal” node.

• Orienting the 3D scene.

  Once we have the 3D space all solved and calibrated we can now use the “Orient Scene” node in order to figure out the right perspective.

• The Image modelling node.

  After the scene had been oriented, we can use the “Image Modelling” Node. This node will allow us to place geometry within the 3D space and extract textures that are based on the footage.

• Exporting and tree presets.

  Now it’s time to export to Maya. We will export not only the camera and the point clouds, but also the geometry we created via the image modelling node.

Plus Level Bundle:
Photogrammetry tools in PFTrack 2017

• The “Image Input” node.

  In this video we will see how to set the project and how to work with the “Image Input” node in PFTrack.

• The “Photo Survey” node.

  Now we can take the fed images and use the “Photo Survey” Node in order to create a 3D point cloud within PFTrack 3D space.

• The “Photo Mesh” node.

  Based on the results from the two previous nodes, we can now use the photo mesh node in order to create depth maps and a mesh that is based the previous results.

• Matching the footage.

  We will now the match the came along the with the course’s material. Since this is a simple nodal pan shot it’ll be easy and a quick process.

• The “Scene Solver” node.

  Now we will see how to work with the scene solver node. The scene solver node will combine the photos with the provided footage.

• The “Exported Maya” scene.

  We will now work in Maya and see how to combine the tracked footage with the exported Mesh.