In many applications, you need to track an object. One simple method is color based tracking. I have developed a simple tool for that with OpenCV. All you have to do is just to adjust the High and Low values of HSV slider in the left window till you filter the image and you only see your […]
Colour based object Tracking with OpenCV Read More »
In this tutorial, I will show you how to estimate optical flow based on Lucas–Kanade method. This project has the following scripts: Optical_flow_estimation, myFlow, myWarp, computeColor, flowToColor. The myFlow does the main job, it gets two images and a window length (patch length) and a threshold for accepting the optical flow. In the following, you see the myFlow. You can uncomment figure function calls
Lucas–Kanade method optical flow with MATLAB Read More »
ArUco is a simple yet great library for augmented reality applications. In this tutorial, I’m gonna show you how to track ArUco marker and estimate their 6DOF pose with ROS. For this tutorial, you only need a USB camera. You need to calibrate your camera before first. If you don’ know how to that just follow my other tutorial
6DOF pose estimation with Aruco marker and ROS Read More »
ROS use OpenCV for camera calibration but the format that it stores the data is different than OpenCV. Also, you need to know where to place the camera calibration files so ROS can find it and publish it. 1.First, you need to install usb cam package from ROS and uvcdynctrl to disable autofocus:
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sudo apt-get install ros-kinetic-usb-cam uvcdynctrl |
2.Open a terminal and run roscore:
Calibrating a Monocular Camera with ROS Read More »
So the other day I saw this beautiful 360-degree video of the moon and I decided to see what would I get if I apply SFM (structure from motion) algorithm to the images in the video. So I extracted the image frame by frame from the video and feed the to SFM algorithm and the
The moon is sphere! structure from motion confirms that :) Read More »
