I’m a book author now :)

Eugene Khvedchenya published on 2012-06-12

Hello dear computer vision community! I was absent for a while. There were a lot of interesting things i did for these months. Unfortunately, i can’t tell about almost all of them due to signed NDA agreements. But there is one great thing i can share right now. Today i finished working on two chapters of “OpenCV Hotshots” book! This book is written with couple of authors, my part was about marker-based and marker-less augmented reality.

On answering reader questions

Eugene Khvedchenya published on 2012-04-10

A question from intenet:

Dear Ievgen, I’m researching the field of computer vision and object recognition in particular. I’m working for SENSUS in Amsterdam and we focus on social computing solutions for educational and health care sector. While researching and exploring I came up with a couple of simple questions that you might be able to help me with. I’m quite new to the concept of computer vision and only had some experience with simple blob tracking in OpenCV with use of OpenFrameworks. With best regards, Ralph Das

OpenCV + iOS = Success

Eugene Khvedchenya published on 2011-12-23

It’s christmas time and i finally managed to deal with all my affairs before holidays. It’s probably the last post in the 2011 year. And i have a little present for you guys – it’s latest build of OpenCV library for the iOS platform, an updated build scipt and updated OpenCV in iPhone sample project with iOS 5 SDK support!

A complete iOS + OpenCV sample project

Eugene Khvedchenya published on 2011-08-14

Hello everyone! Today i want to introduce the all new tutorial project of using OpenCV in your iOS projects. In this post i’ll show you the right and correct way of interoperation between native OpenCV C/C++ API and Objective-C. I know many of you asked me how to solve this nasty “statement-expressions are allowed only inside functions” error. Here is a solution.

Comparison of the OpenCV’s feature detection algorithms – II

Eugene Khvedchenya published on 2011-07-13

Here is an update of half year-old post about differences between existing feature detection algorithms. Original article can be found here: Comparison of the OpenCV’s feature detection algorithms – I. I decided to update this comparison report since many things happened: OpenCV 2.3.1 has been released and the new type of feature detector (ORB feature detector) has been introduced. ORB is an acronym of Oriented-BRIEF and uses modified to compute orientation FAST detector for detection stage and BRIEF for descriptor extraction. In this article I will test newcomer on the same test cases (the same hardware and input images) using the latest OpenCV build (2.3.1, revision №6016).

OpenCV 2.3 is available

Eugene Khvedchenya published on 2011-07-03

New major release of OpenCV library is coming. Release candidate is available for testing right now! **Update = **Opencv 2.3 has been released on 5 June. Update 2: Added precompiled binaries of iOS! Download OpenCV 2.3: Win32: http://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.3/ Android: http://sourceforge.net/projects/opencvlibrary/files/opencv-android/2.3/OpenCV-2.3.0alpha1-android-bin.tar.bz2/download Unix: http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.3/OpenCV-2.3.0.tar.bz2/download iOS: [download id=“4”] General Modifications and Improvements Buildbot-based Continuous Integration system is now continuously testing OpenCV snapshots. The status is available at http://buildbot.itseez.com OpenCV switched to Google Test (http://code.