Get Image Target - Vuforia Developer Portal

When you select the image target, then in the inspector tab, you will see image target behavior (script) section. There is one advanced arrow button, click that and you will see Add Virtual Button option. It does not happen at new Interface (Unity 2019 + Vuforia 9).

Employ unique features and distinct graphics covering as much of the target as possible to avoid symmetry, repeated patterns, and feature-less areas. Must be 8- or 24-bit PNG and JPG formats; less than 2 MB in size; JPGs must be RGB or greyscale (no CMYK ).

Vuforia Engine is a software development kit (SDK) for creating Augmented Reality apps. Developers can easily add advanced computer vision functionality to any application, allowing it to recognize images and objects, and interact with spaces in the real world.

The essence of Augmented Reality is that your device recognizes objects in the real world and renders the computer graphics registered to the same 3D space, providing the illusion that the virtual objects are in the same physical space with you. ... The following is a survey of various Augmented Reality target types.

To add an Image Target to the Scene, go to GameObject > Vuforia > Image. With the Image Target GameObject in your Scene, select it and look at the Inspector window to view its components. In the Image Target Behaviour component, click on the Database drop-down list and select your Target database.

Add an ARCamera GameObject from the Vuforia Engine menu. Select the ARCamera and Open Vuforia Configuration from the Inspector. Add a Vuforia Development License Key in the App License Key field. For a guide on getting a license key, see Vuforia License Manager.

Image Targets represent images that Vuforia Engine can detect and track. The Engine detects and tracks the image by comparing extracted natural features from the camera image against a known target resource database.

Image Targets represent images that Vuforia Engine can detect and track. The Engine detects and tracks the image by comparing extracted natural features from the camera image against a known target resource database.