OpenCV Tutorials and Source-Code by Shervin Emami. Last updated on 3rd October, 2010 by Shervin Emami . Posted originally on 2nd June, 2010. OpenCV is a great library for creating Computer Vision software using state-of-the-art techniques, and is freely available for Windows, Linux, Mac and even the iPhone. OpenCV was originally designed by Intel in 1999 to show how fast Intel CPUs can run.
So most of OpenCV runs very fast on Intel CPUs, now including some SSE2 optimizations. However, OpenCV is mainly used for tasks that are complex in nature, often requiring post-grad experience in the fields of Computer Vision or Artificial Intelligence (AI). So this website tries to make it easier with tutorials and source-code. All source code on this site are free to use for educational or commercial purposes, but may not be used for military-funded projects.
If you have never used OpenCV before, you should first read my Introduction To OpenCV . Arduino + Servo + openCV Tutorial [#openFrameworks] by Joshua Noble. One of the my favorite things about creativeapplications.net has always been the small tags one can find beneath the name of an application indicating among other things, the technology used to create it. That little nod to the process and to all the work that went into creating the libraries and techniques that an artist or designer uses helps not only contextualize the work but it also helps give recognition to everyone who has contributed their time and expertise to building tools for creative expression in code. Figuring that some of the readers might be interested in learning a little more about these frameworks I’ve put together a quick walk-through of how to connect up two of those tools that one so often sees attached to the names of the projects profiled here: openFrameworks and Arduino.
Arduino For this tutorial you’ll need a few things: 1 x Arduino-compatible device 1 x Trossen Servokit 1 x USB cable 1 x Breadboard and wires to connect the Servos to the Arduino. Motion Detection using OpenCV. Wingman's OpenGL: OpenGL :: Ilab.cs.ucsb. Overview The Handy AR presents a vision-based user interface that tracks a user's outstretched hand to use it as the reference pattern for augmented reality (AR) inspection, providing a 6-DOF camera pose estimation from the tracked fingertip configuration. A hand pose model is constructed in a one-time calibration step by measuring the fingertip positions relative to each other in presence of ground-truth scale information. Through frame-by-frame reconstruction of the camera pose relative to the hand, we can stabilize 3D graphics annotations on top of the hand, allowing the user to inspect such virtual objects conveniently from different viewing angles in AR.
Fingertip Detection Fingertips are detected using a curvature-based algorithm on the contour of a user's hand. The contour point with a high curvature value is sought as a candidate fingertip point. Then an ellipse is fitted to accurately locate the fingertip. Camera Pose Estimation Interaction Videos Source Code Publications T. T. T. T. Home - VideoMan Home Page. 3dtracking - jbarandiaran. Abstract Method for real-time 3D object tracking. During the tracking process, the algorithm is continuously projecting the 3D model to the current frame by using the pose estimated in the previous frame. Once projected, some control points are generated along the visible edges of the object. The next pose is estimated by minimizing the distances between the control points and the edges detected in the image. Introduction The implemented model-based tracking system follows a recursive scheme. This means that it repeats the same cycle frame after frame. Thus, the result of the iteration is a 3x4 transformation matrix V = [ R | t ] (composed by a 3x3 rotation matrix and a 3x1 translation vector), called the motion matrix, that transforms the pose calculated in the previous frame into the pose of the object in the new frame.
In order to obtain the 2D data, a CAD model of the object is employed. Publications Software used Links. Bradhayes. Tommed's tommed-opencv-examples at master - GitHub. OpenCV Tutorials, Robotics & Electronics articles – AI Shack. Create Digital Motion » opencv.