How to add Models in Camera View in Android Studio? - android

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!

Related

How can i Build Dressing room app by Augmented Reality

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.

What are the supported libraries for google cardboard based AR android application development?

I want to build an AR application using google cardboard. Please suggest some good libraries which provide better functionality.
I have seen people suggesting cardboard.jar library for VR apps development but not for AR.
The Rajawali Library is a good place to start. You can use it to display 360 panoramic images in the side-by-side view.
The Pan Frame Library can be used to display 360 videos in the side-by-side view. (You'll have to contact them for commercial purposes though.)
These are some very useful libraries to use if you're developing for Google Cardboard and if you're looking at images/videos!
OpenCV for image processing and object tracking. Cardboard for display.

AR marker detection in android

I am developing an android application in which the AR Marker is detected using camera and compared with existing markers if the match found respective video is fetched and played in android. Is there is inbuilt SDK or API is there? Guide how to implement it?
I use this SDK for Augmented Reality.
https://developer.vuforia.com/downloads/sdk
You can use native android or if you want to develop cross platform, you can use Unity SDK.
This page may will help you to your choice.
http://socialcompare.com/en/comparison/augmented-reality-sdks

using unity 3d models in android application

i am working on an android AR application. In this app the user can place 3d model of a furniture and interact with these. i want to design these model in unity 3d. I am using vuforia sdk for app development. i also downloaded the vuforia unity extension for this purpose. But i don't know anything about using unity.
Now the problem is that i'm not sure that i can use the unity model in my application?
If not then which software should i use for designing these 3d models?
Unity is just a Game Engine. You can't use it to design your 3D models. You should use 3D modeling software such as 3Ds Max, Blender, Maya to model your 3D furniture and then import them into Unity.
After this, you may use Vuforia plugin for Unity to create your Augmented Reality app. Using Unity with Vuforia is just drag-and-drop if your application is not that complicated.
Check Vuforia Tutorial Series. It's really easy to follow.

Computer Vision and AR libraries availabe for Android?

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.

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