

In this tutorial again there is no single line of coding so to implement same on your mobile it’s not necessary to have coding knowledge 🙂 Step by Step Implementation

In this tutorial, we are going to create our custom ImageTarget and render custom 3D model over it. This vuforia ImaeTarget tutorial is meant for newcomers to get started with developing Augmented Reality applications. Use Cases: Common uses of Image Targets include recognizing and augmenting printed media and product packaging for marketing campaigns, gaming and visualizing products in the environment where the product was intended to be used. A lot of factors will be part of the recognizing calculation, but basically the image must have a reasonable level of contrast, resolution, and distinguishing elements. However, the more detailed and intricate the image, the better it is to be recognized by the algorithm. Any kind of image can be a Vuforia Image Target. Image Targets: Image Targets represent images that the Vuforia SDK can detect and track. To learn more about Vuforia library please refer my previous blog: “Get started developing AR Apps with Unity and Vuforia”

Vuforia enables us to detect our own image and augment virtual 2D/3D content over it. In this tutorial we’ll dive back into the Vuforia Augmented Reality (AR) library, exploring one of its most interesting resources-the Image Target. Jin Uncategorized tagged AR / ar app / ar app dev / AR SDK / ARKit / arreverie / artoolkit / Augmented Reality / augmented-reality-sdk / image target / marker / Mixed Reality / Sanket Prabhu / unit圓d / Virtual Reality / vr / Vuforia / vuforia ar by Sanket Prabhuĭevelopers can easily add advanced computer vision functionality to any application, allowing it to recognize images and objects, or reconstruct environments in the real world.
