In our last blog post ( part 1 ), we took a look at how algorithms detect keypoints in camera images. These form the basis of our world tracking and environment recognition. But for Mixed Reality, that alone is not enough. We have to be able to calculate the 3d position in the real world. It is often calculated by the spatial distance between itself and multiple keypoints. This is often called Simultaneous Localization and Mapping (SLAM). And this is what is responsible for all the world tracking we see in ARCore/ARKit. What we will cover today: How ARCore and ARKit does it's SLAM/Visual Inertia Odometry Can we D.I.Y our own SLAM with reasonable accuracy to understand the process better Sensing the world: as a computer When we start any augmented reality application in mobile or elsewhere, the first thing it tries to do is to detect a plane. When you first start any MR app in ARKit, ARCore, the system doesn't know anything about the surroundings. It starts pro
This is my mindless rambling.