Mputer vision with iOS Part 1: Building an OpenCV framework — Aptogo. Update: Nov 28 2011 – The OpenCV framework has been rebuilt using opencv svn revision 7017 Update: Check out Part 2 of our series on computer vision. Introduction This article is the first in a series looking at computer vision for iOS using the OpenCV library. OpenCV is released under the BSD licence and so is free for both academic and commercial use. It includes optimised implementations of all the standard algorithms used today in the field of computer vision and has a huge user base across the Linux, Windows, Mac and Android worlds. In the past, OpenCV has been difficult to build for iOS.
However, recent sterling work by the OpenCV team has added iOS build support and video capture. In this article we aim to reduce the learning curve even further by providing the OpenCV library as an iOS framework that can be added to your own Xcode projects simply by dragging and dropping. As ever, we build on the work of others that have gone before us. The example project Include the OpenCV headers. Augmented Reality on Android, the ultimate toolkit : Augment. The Future of Augmented Reality.
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API. 10 applications concrètes de la Réalité Augmentée. Matos Realitée Augmentée.