I'm developing Augmented Reality base Application in android.
In which I want to add model or image when camera view open.
How can I do that with Android Studio?
I know there are libraries like vuforia but I don't want to use library.
Do you want image recognition or just to place an image in an AR scene?
ARCore by Google supports augmented reality and allows you to orient the device in the world, but does not yet support image recognition, so no detecting an image. To do image recognition, you'll need to use an external library/service (like Vuforia which you mentioned above).
If you want to use iOS, ARKit 1.5 (coming out in iOS 11.3) will support Image Detection.
If you want to build cross platform, check out my company's product Viro React which enables you to build a cross-platform AR/VR application. We'll support both ARKit and ARCore features as they come out. It's free and easy to use!
We are currently developing an app for a student project, that we want to enable to use ARCore and ARKit on Android and iOS respectively and Vuforia as a fallback. After my project partner has already implemented ARKit and Vuforia in two separate scenes, I'm now trying to add ARKit.
But when trying to add both to the Android build under Player Settings -> XR Settings, I get the following message:
We would like to be able to allow users to always be able to fall back to Vuforia, but use ARCore on compatible devices. Is there a way to have both in the project at the same time?
AFAIK you would be able to do this if you're building Unity scenes into an android app built in Android studio or some other way. You would have a check for ARCore support on the device, and if that passes you would load a Unity scene that has ARCore support. If that does not pass you load another Unity scene that uses Vuforia. If you're working only in Unity like I am, I do not think it is possible. I could be wrong, though.
You have to go to the vuforia settings and select the option "Do not use" the Ar core requirement, the app build will proceed normally and the app will work without errors
I Wanted To Develop A Augmented Reality Android Application.That can Be like a Dressing Room App.Anyone can Try for Any dresses Stored in our E-commerce Site The can take an order for Purchased any dresses.
I need some help ..What technique i can use. Which SDK can be better for such type AR application .Which tools can be used(Android Studio or Unity).
You can use Unity very easily. you'll need to download the package 'Vuforia' for using AR with Unity. Read up on Vuforia's documentation pages. For android applications, you can download Android's SDK for AR, and for apple use the Apple ARKit.
I'm working in a project that consist in make a Phonegap app to use Augmented reality.
I was looking for some plugins, but most of them are not free.
someone know how could I do it? my app needs to scan a marker and when it was detected, puts with AR an image. Maybe there are an option in which I could integrate a Unity project with phonegap?
The plugins I researched were:
With pay license:
CraftAr http://catchoom.com/product/
Wikitude http://www.wikitude.com
Layar https://www.layar.com/solutions/#sdk
without license:
ARviewer (without documentation and old version) https://github.com/dixon1e/ARviewer-phoneGap
I am starting out as an Android Developer, and I would like to know if there are any Computer vision libraries or Augmented Reality libraries for the Android SDK, as I am planning to use these libraries for a mobile app.
I have read that if I download the NDK, I might be able to "import/use" the C openCV, and ARtoolkit libraries, but I am wondering if this is possible, or if there is a better and easier way of using these tools.
Android apps are programmed in Java, yet OpenCV & ARtoolkit use C/C++. Is there any way to use these libraries?
There are a number of wrappers for OpenCV available. For Java you might check JavaCV out.
To my knowledge, there is GSoC activity on AR with OpenCV on Android, but they seem to use C++.
Qualcomm is working on an Augmented Library for Android. As was mentioned opencv is also an option.
I would like to know if there are any
Computer vision libraries or Augmented
Reality libraries for the Android SDK
In the SDK? No. There are existing AR applications for Android (Layar, WIKITUDE) that you may wish to use as your foundation.
Is there any way to use these
libraries?
A quick search via Google turns up this and this.
Layar has made Layar Vision available to developers:
Layar Vision uses detection, tracking and computer vision techniques
to augment objects in the physical world. We can tell which objects in
the real world are augmented because the fingerprints of the object
are preloaded into the application based upon the user’s layer
selection. When a user aims their device at an object that matches the
fingerprint, we can quickly return the associated AR experience.
[...]
Layar Vision will be applied to the following Layar products:
6.0 version of Layar Reality browser on Android and iPhone iOS platforms.
iPhone Layar Player SDK v2.0.
The first release of an Android Layar Player SDK.
Layar Connect v2.0.
The simplest solution is to create a Vision layer, then use launcher creator for Android to create a layer launching app.
You can code in Java using OpenCV4Android, the official Android port of OpenCV. If you want to use native C++ OpenCV code, check out the Android NDK instead.
There's a new option for CV on Android, the Google Mobile Vision API. The API is exposed through com.google.android.gms.vision and lets you detect various types of objects (faces, barcodes, and facial features) given an arbitrary image bitmap.
In addition, Google provides the Cardboard VR library and a Unity plugin to make it easier for you to develop VR applications - such applications could include AR based on Mobile Vision if you integrated the phone's camera.
Now Google offers us 2 powerful SDKs: ARCore and ML Kit.
ARCore API has such important features as Augmented Images, Augmented Faces and Cloud Anchors. It supports Kotlin/Java languages, debugging apps on Emulator (AVD) and physically based rendering (PBR) with a help of Sceneform.
ML Kit API brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Although ML Kit is still in beta stage it allows you to work with such important features as: Image Labelling, Text Recognition, Face Detection, Barcode Scanning, and Landmark Detection.