Augmented Image- A TCW project Case Study ( The Code Work )

Augmented Images in ARCore allows you to develop AR apps that have the ability to augment and detect 2D images in the respective user’s environment. These images can be posters or simply any product packaging.

This project deals with the detection of such 2D images and producing their augmented image to exhibit information with the help of ViewRenderable or produce a 3-D model. Sounds cool right?

So it works like this;

When ARCore starts tracking an image, it provides estimations for the position of the image and the orientation of every frame. This entire tracking activity takes place on the device itself.

Bonus Point: You don’t require any active internet connection to detect or track these images.

ARcore basically scans the image that you store in the database when the image is detected. It also creates a 3D image of that specific image.

Magic!

Augmented Images for Android and how it works?
augmented images for android
To begin with, you have to provide some reference images. After that, ARCore makes use of some machine vision algorithm to obtain characteristics from the grayscale data in every image. Consequently, it saves a representation of these characteristics in several Augmented Image databases. See the flow already?

During runtime, ARCore explores these saved characteristics on flat planes in the respective user’s surroundings. This further allows ARCore to detect the images in the real world and assess their orientation, position, and size even if they are not provided.

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