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Bootstrap Projects

Bootstrap Projects You can get started super-quickly using one of our bootstrap projects. They contain the basics of an AR experience for the different tracking types - no more, no less. Standalone Check out these repositories that contain index.html files to get you started: ​ Image Tracking Minimal standalone project …...

Camera Setup

Camera Setup The ZapparThree library needs to use your WebGL context in order to process camera frames. You can set it when your page loads using the following function: ZapparThree.glContextSet(renderer.getContext()); Constructing the Camera The library provides a camera object that you can use instead of a ThreeJS PerspectiveCamera. It's constructed …...

Face Tracking

Face Tracking Face Tracking detects and tracks the user's face. With Zappars Face Tracking library you can attach 3D objects to the face itself, or render a 3D mesh that fits to, and deforms with, the face as the user moves and changes their expression. You could build face-filter experiences …...

Image Tracking

Image Tracking Image tracking can detect and track a flat image in 3D space. This is great for building content that's augmented onto business cards, posters, magazine pages, etc. Before setting up image tracking, you must first add or replace any existing camera you have in your scene. Find out …...

Instant World Tracking

Instant World Tracking Instant World Tracking lets you tracking 3D content to a point chosen by the user in the room or immediate environment around them. With this tracking type you could build a 3D model viewer that lets users walk around to view the model from different angles, or …...

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