Flash Augmented Reality Engine. IN2AR uses a new technique within Flash™ Player for detecting images/markers.
IN2AR does natural features recognition wich means that every image can be used for detection, as long as it has enough information in it. The more contrast and details, the better the detection will be. Provide .jpg files with a minimum width size of 550 pixels. Unlike FLARtoolkit, where a fiducial marker is needed to be placed on your product/print, you can now use your actual design for detection! Photos work very well, because they have lots of variaty in elements, color and contrast. Images with lots of text in them might work. When you want to use your own images in our SDK you will need *.ass files.
The examples in the SDK use our testimage *.ass file. These *.ass files contain the image data and the licensing information. The web SDK will automaticly force our logo on top of the application when you use free licensed *.ass files. Creating patterns/textures (PAT files) in Photoshop. When we’re working on a new design, whether if this is a website design, a flyer or even a logo, we usually like to incorporate textures to the process; textures can be achieved in 2 basic ways: Real-life textures or digital.
Real-life textures are regularly taken from photographs and subsequently digitalized for being used. As for digital textures, they are created directly in graphic programs such as Photoshop and Illustrator, these textures have the advantage of being squeaky clean when they’re made by a pro. On this article we’re going to study the creation process behind digital patterns in Photoshop, from its construction to the exporting as PAT files. You will also find some pretty cool examples of digital textures in web design.
Unlike real-life textures that are usually big images that you place in a design and then you change its opacity and blending mode to make it more subtle, digital patterns often came from small images that can be repeated in all directions. Download link: Patterns - Augmented Reality. Creating the Pattern Pattern files need to be Black and White images.
They need to consist of a black square. There needs to be a white border around the black square. The border should be at least 1/4th the width of the black square. Inside the black square is another square. Inside of the inner square is a black and white pattern. Other Notes: There can be variation in the ratio of the size of the black square to inner square. Online Pattern Generator The online pattern generator uses a larger inner square than described above. Save your pattern as a JPG (or GIF or PNG). Click Mode Select and then Load marker image Browse for the JPG and click Open Set the number of segments in your marker.
Click the Get Pattern button A Preview of your pattern is displayed. Getting started with Augmented Reality and the FlarToolKit. Author: Imagine Admin 24th November 2009 Learn the basics of Augmented Reality using ActionScript 3.0, Papervision and Flex Builder One of the biggest buzzes at the moment is Augmented Reality, and the reason for that is because unlike two years ago when you could only make 3D objects attach themselves to physical objects using C# and a desktop application, we can now do the same using ActionScript 3.0.
ARToolKit Marker Generator Online released! « flash.tarotaro.org.blog. IN2AR Flash SDK And Demos. Home ? Developer , News , Technology , web Natural Feature Tracking (NFT) solutions are become ever easier to create thanks to some great tools and SDKs that are beginning to appear. The latest to come my way is the IN2AR Flash Library. Using NFT for augmented reality has the added benefit in that you don? (Flash) Finding objects from a photo - kynd.info/dev/ Play.blog2t.net » Detecting blobs at the speed of light. While working on my eye tracking experiment I got to the point where I needed to execute a blob detection algorithm to determine relative positioning of the eyes.
I found some really good blob detection algorithms but I didn't have enough time to try implementing them. Andrei R. Thomaz had ported an existing Processing library (based on subdivision), but it turned out to be too slow/complicated to fit for my needs. Few days ago while looking for something else, I've found this genius object detection technique by japanese guy Kynd (developed from the original code by Kampei Baba).
I decided to try it out for detecting blobs. UPDATE: This blob detection method has also been discovered by Quasimondo and was shown (!) You can test the result below, try it yourself. I was totally amazed how fast (and exact) it performs! / As3/Marilena. FlashSURF – moving further. AS3 Version of OpenCV for Facial Detection, Web Cam Object Detection, Head Tracking, 3D Library Integration and more with Open Computer Vision Library for Flash - web, mobile, game + interactive development » AS3 Version of OpenCV for Facial. Libspark from Japan is a treasure trove of great flash advancements, they seem to realize the great things that can come from porting in existing solid libraries from C/C++ etc into flash and have been scoring lately including augmented reality in flash porting the ARToolkit to FLARToolkit.
Recently a port of openCV for as3 called Marilena was found and it is for object detection and decent facial recognition (it is a computer vision library from intel) considering the processing power needed to do this. Face Detection: Here is the sample included with Marilena showing facial detection on an image. Lots of recent action has blown up on this front from Mr doob, quasimondo (optimizing the Marilena classes for better performance) and Boffwswana.
Viola-Jones object detection [updated] Flash - Objects Detection on AS3.