Understanding Basic Matchmoving Techniques in PFTrack and MatchMover

In this tutorial we will go over the basic workflows of Matchmoving in MatchMover and PFTrack. Software required: MatchMover 2011 & up, Maya 2013, PFTrack 2011 & up, Photoshop CS6.
Course info
Level
Beginner
Updated
Nov 4, 2013
Duration
1h 37m
Table of contents
Description
Course info
Level
Beginner
Updated
Nov 4, 2013
Duration
1h 37m
Description

In this tutorial we will go over the basic workflows of Matchmoving in MatchMover and PFTrack. Throughout this training we will learn how to approach 2D shots and convert them into 3D scenes with an animated camera that animates in the same manner as the physical camera used initially. We will learn how to identify certain types of shots, such as a nodal pan shot and a zoom shot. Finally, we will learn how to build proxy geometry and prepare a 3D scene for the other artists in the production pipeline. Software required: MatchMover 2011 & up, Maya 2013, PFTrack 2011 & up, Photoshop CS6.

About the author
About the author

Michael Raphaelovich is a Matchmove artist, Visual Effects compositor and a film editor.

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Section Introduction Transcripts
Section Introduction Transcripts

Introduction and Project Overview
Hi. I'm Michael Raphaelovich, a freelance visual effects artist that specializes in visual effects match moving and compositing. I've been working as a freelance visual effects artist since 2008, and among the things that I've done are visual effects match moving, compositing, and video editing. Being a freelance allowed me also to teach visual effects and editing classes in a couple of universities. In this course, we will focus on theories as well as practices of match moving. We'll learn how two match moving software work. The software is going to be Autodesk MatchMover and the Pixel Farm PFTrack. The course will teach you how to identify special shots, such as a nodal pan shot and a zoom shot, and how to match move these kinds of shots, and integrate them into 3D. We will go over the differences of object tracking, and how to use survey data that can make the life of a match mover much easier. We will also see an example of what happens when we have a moving object and a camera all in the same shot. So now that the introduction is out of the way, let's go ahead and start with our first lesson.