Introduction to Spark AR
Course 4: People Tracking: Transfer of movements to objects 2
By Paul Brown , Digital artist
About the video: Transfer of movements to objects 2
Overview
“In this second part we will talk about the patch movement.”
In this video lesson Paul Brown addresses the topic: Transfer of movements to objects 2, which is part of the Domestika online course: Course 4: People Tracking. Learn the basics and how to segment them.
Partial transcription of the video
“SPARK AR / COURSE 4 LESSON 5 Transferring movements to objects What else could we transfer from the patched movement? An example could be adding lights, which can be linked to the eyes. Every time you blink, the lights turn on or off. For that we will have to adjust our materials. My object has a material and I could activate the Emission. If i turn it on and I add the shine, as the car begins to emit color. For this I need an emission texture, so that it is only at the right time and that we can, for example, turn the lights on and off. We are going to import this texture, which I have apa...”
This transcript is automatically generated, so it may contain mistakes.
Course summary for: Course 4: People Tracking
Paul Brown
By Paul Brown
Paul Brown is a freelance 3D generalist, does motion graphics , medical and scientific animation, and augmented reality filters. He trained as a graphic designer at UNAM, and specializes in creative code for animation. He is passionate about exploring the fields of virtual reality and augmented reality. He began his career, working in advertising agencies with brands such as American Express, DIAGEO (Guinness, Jhonny Walker, Ciroq, etc.), Sauza, Helvex, among others, creating characters for advertising campaigns, corporate videos, stands , graphic identities, POP and architectural visualizations.
For a few years, he has worked as a freelance for different brands and agencies worldwide, developing motion graphics , graphic packages for TV, augmented reality filters, modeling and 3D animation, as well as medical and scientific visualization.
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