Yoshimasa niwa - Using OpenCV on iPhone. OpenCV is a library of computer vision developed by Intel, we can easily detect faces using this library for example.
I’d note how to use it with iOS SDK, including the building scripts and a demo application. Here I attached screen shots from the demo applications. Support Latest OpenCV and iOS SDK Updated the project, support OpenCV 2.2.0, iOS SDK 4.3, Xcode 4 (Updated 04/17/2011.) Getting Started All source codes and resources are opened and you can get them from my github repository. Git clone After getting source codes, open OpenCVTest.xcodeproj with Xcode, then build it. Building OpenCV library from source code You can also make OpenCV library from source code using cross environment compile with gcc.
Building OpenCV requiers CMake. Build support script Build support script opencv_cmake.sh has some options to build OpenCV with iOS SDK. Converting images between UIImage and IplImage Creating IplImage from UIImage is like this. Don’t forget release IplImage after using it by cvReleaseImage! FAST Corner Detection. [ Home : Programs | libCVD | Hardware hacks | Publications | Teaching | TooN | Research ] Try FAST Today!
If you use FAST in published academic work then please cite both of the following papers: FAST-ER is now accepted for publication: Faster and better: A machine learning approach to corner detection Any figures ma be reporduced with appropriate citations. For convenience, the FAST corner figure is available in a variety of formats here. If you want to use FAST, it is available in a variety of forms below: Pre-compiled executables Source code for several languages In the OpenCV library In the LibCVD library Questions about FAST If you have any questions, try the FAQ, or ask a question about FAST in the forum. Precompiled FAST binaries Bugs The windows executable has problems dealing widths which are not a multiple of 4. FAST Source code Python Source Code 2010-09-17 Release 1.0: Pure python implementation. Standalone C soure code Note: this code is stable, not abandoned. FREE Face Recognition API, Face Recognition Software Apps for the masses – face.com.
Comparison of the OpenCV’s feature detection algorithms « Computer Vision Talks. Introduction “In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not.
The resulting features will be subsets of the image domain, often in the form of isolated points, continuous curves or connected regions.” Wikipedia Update: Here is Updated Post with added new detectors (ORB and SIFT).