turtlebot_visual_servoing

Turtlebot line tracker based on ROS, Visp and OpenCV

ServoPrehensionControl

All coding necessary for applying the visual servoing control laws developed for the 3-Finger Adaptive Gripper are contained here.

visual servo simulator

The aim of visual servoing is tracking an object by the feedback information of the vision sensor. There are different techniques for controlling the system, in this work, Image based visual servoing has been chosen. The goal of propsed system is tracking the featureless object by the kernel and moment measurement. The configuration of the system is eye-in-hand.

Visual-Servoing

This program is designed to detect the largest blob (object) in the scene and move the robot and arm in place to properly and safely interact with the object.

Visual Servo code for AR.Drone

Visual Servo ROS Package for the AR.Drone Visual Servo code for AR.Drone Andrew Melim

DisCODe Component Library

Visual servoing library for cooperation with MRROC++.

Auto Canny

Zero-parameter, automatic Canny edge detection with C++ and OpenCV. This is a conversion of Adrian Rosebrock's python script to c++. Everything is contained in the include folder in auto_canny.h There's an simple code in src/main.cpp to read an image and output the zero parameter canny image

edge detection problems

Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques

canny edge detection

Projects leading up to and including canny edge detection and sieve closest-point algorithm.

Canny Edge Detection And Hough Transform Line Detection

Canny Edge Detection And Hough Transform Line Detection The code is written in Visual C++. USING THE MAIN CODE The Input images have to be ".bmp" format and the output image must be saved as ".bmp" format. In the main code, you must be change your input image and output image (saved image) paths to yours.