Can You Upload Images to Target Manager From Android Vuforia

Image Targets

Epitome Targets stand for images that Vuforia Engine can notice and track. The Engine detects and tracks the image by comparison extracted natural features from the camera image confronting a known target resource database. Once the Prototype Target is detected, Vuforia Engine will track the prototype and broaden your content seamlessly using best in marketplace paradigm tracking technology.

Using Image Targets

Mutual 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.

The Paradigm Targets sample app represents Vuforia's core features and tin can be a slap-up starting point to help you lot implement and configure Prototype Targets in an application.

TIP:Customize these samples with your own targets and content!

Prerequisites

Supported Formats

Image Targets can be created with the Vuforia Target Managing director using JPG or PNG images in RGB or grayscale. The size of the input images must be 2.25 MB or less and have a minimum width of 320 pixels . Features extracted from these images are stored in a deject or device database, of which the latter can be downloaded and packaged together with the application. The database can and so be used by Vuforia Engine for runtime comparisons. Another option is to create Paradigm Targets within the Unity Editor by directly using image assets, or at run-time using respective API.

Notation:That Epitome Targets are afflicted by glossiness and reflections from lighting sources. To maintain the best experience, the Epitome Target should be viewed under moderately bright and evenly lit diffused lighting. Delight review Best Practices for Designing and Developing Image-Based Targets and Concrete Properties of Image Targets pages for further tips & tricks.

Creating and Managing Image Targets

Preparing and Designing Images

Image Targets can apply whatsoever planar image that provides sufficient item to be detected past Vuforia Engine. Creating Paradigm Targets consist of ii steps. The offset step is to blueprint or select your target images and ensure they uphold the directions in the following guides for sizing, defining, and optimizing the images.

Meet the guide Image Targets Optimization Techniques for tips and tricks to pick or design images providing ameliorate AR quality experiences.

Create Epitome Targets

The 2nd step is to create the actual Image Targets. Several options exist:

1. Upload the images to the Vuforia Target Managing director for evaluation and processing. The Target Manager processes the images to generate both information and visual representations of the target's features. It also lets y'all review the target'southward expected detection and tracking performance rating. The Image Targets can thereafter exist downloaded as a package suitable for integration in both native and Unity. See the Vuforia Target Manager for a detailed guide.
2. As an alternative, Image Targets can also be created at runtime in both native and in the Unity Editor which doesn't require you to upload the images. Specific guides for each tin can be found here:
   • How to Access and Alter Targets at Run Time in Native
   • How to Access and Modify Targets at Run Time in Unity
3. For utilize-cases with thousands of images or a constantly updated fix of images, such equally product-labels, newspapers, or magazines Vuforia Engine besides offers a powerful cloud recognition engineering science in the cloud. Encounter the Cloud Reco feature description for detailed guides.

To farther assist in selecting which solution all-time fit your apply case, please see Comparison of Device and Cloud Databases.

Advanced Topics

Using Device Tracking with Epitome Targets

The Device Tracker improves tracking robustness past using features of the surroundings surrounding the target. Information technology enables you to use smaller targets and allows for tracking targets further abroad from the camera. It additionally, enables Extended Tracking where your target can exist tracked fifty-fifty when the Image Target is no longer in the camera view.

Run across: Device Tracker

Using Virtual Buttons with Paradigm Targets

Virtual Buttons enable you to know when a specific area of the target image has been covered past the user. They provide a style to make Image Targets interactive. The following articles explain how to define and configure Virtual Buttons and how to add them to an Prototype Target.

See: How To Implement Virtual Buttons

Using Multiple Image Targets Simultaneously

For your specific scenarios and better use cases, Vuforia offers simultaneous tracking of targets and target types. Y'all tin too manage the number of tracked targets to limit the performance strain on the devices. Let multiple Image Target cards activate based on proximity or evangelize an event when all targets accept been establish and collected to provide your users an immersive and interactive feel.

Visit Detect and Track Multiple Targets Simultaneously for more information.

Paradigm Target API Overview

The ImageTarget is tracked by the ObjectTracker as part of the ObjectTarget trackable types. The corresponding TrackableResult (in this instance a ImageTargetResult) returns the tracking data of the Image Target.

Please, refer to the ObjectTracker API Overview for more than information.

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Source: http://library.vuforia.com/features/images/image-targets.html#:~:text=Supported%20Formats,minimum%20width%20of%20320%20pixels%20.

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