CraftAR - Android SDK examples
Pastec is an open source image recognition index and search engine designed for your mobile apps. Add pictures. Add easily pictures to your Pastec instance using its simple HTTP API. Pastec extracts features. Pastec extracts features for each image, a tiny code to recognize the picture among thousands. Snap it, Recognize it!
Introduction
CraftAR allows to create recognition only and Augmented Reality (AR)experiences using the CraftAR Service and its Mobile SDK (‘Mobile SDK’).
With CraftAR, you can create amazing apps that provide digital contentfor real-life objects like printed media, packaging among others. Youcan use our online web panel or APIs, to upload images to be recognised and setAR content to display upon recognition in your CraftAR-poweredapp.
Running the examples
This repository contains the project files and source code of some examplesthat show how to use the CraftAR Augmented Reality SDK.
The examples are included in the SDK distribution with the SDK already linked tothe project. The easiest way to use the examples is todownload the SDK,open the Android Studio project and hit the run button.
Requirements
Android Studio, the Android SDK and a device with and at least Android 4.2.
Integrate the SDK in your own project
Follow this tutorial for instructions on how to integrate the SDK in your projects.
Introduction
Presentation
Pastec is an open source index and search engine for image recognition based on OpenCV. It can recognize flat objects such as covers, packaged goods or artworks. It has, however, not been designed to recognize faces, 3D objects, barcodes, or QR codes.
Pastec can be, for example, used to recognize DVD covers in a mobile app or detect near duplicate images in a big database.
Pastec does not store the pixels of the images in its database. It stores a signature of each image thanks to the technique of visual words.
Pastec offers a tiny HTTP API using JSON to add, remove, and search for images in the index.
Intellectual property
Pastec is developed by Visualink and licenced under the GNU LGPL v3.0.It is based on the free packages of OpenCV that are available for commercial purposes; you should therefore be free to use Pastec without paying for any patent license.
More precisely, Pastec uses the patent-free ORB descriptor and not the well-known SIFT and SURF descriptors that are patented.
Setup
See here.
API
See here