uncleflo
Registered since September 28th, 2017
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Tag selected: opencv.
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Itseez
Saved by uncleflo on February 8th, 2015.
Itseez provides services in the area of computer vision R&D. Our expertise in computer vision is the key differentiator that helped us to become a trusted partner to the world's largest hardware vendors.
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Building and calibrating a stereo camera with OpenCV (<50€) | Stackable
Saved by uncleflo on February 8th, 2015.
I’ve decided to try my hand at 3D reconstruction using a stereo camera. There are a few good sets of instructions on how to get started with this. I decided to take some heavy inspiration from them and will be citing them as I go in the post. I ended up not following any of the instructions precisely because I have a few goals that are not fulfilled by any single source that I could find
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StereoVision: Library and utilities for 3d reconstruction from stereo cameras — StereoVision 1.0.0 documentation
Saved by uncleflo on February 8th, 2015.
StereoVision is a package for working with stereo cameras, especially with the intent of using them to produce 3D point clouds. The focus is on performance, ease of usability, and the ability to construct 3D imaging setups cheaply. For more information, see the Sphinx autodocumentation, built with the Makefile included in doc. StereoVision relies heavily on OpenCV. If you’re not sure about what a given variable does or what values would make sense for it and no explanation is provided in the StereoVision documentation, refer to OpenCV’s documentation in order to better understand how they work.
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openCV static linking (GNU/linux + gcc) | s1meonov
Saved by uncleflo on December 7th, 2014.
A guide on howto compile opencv statically, which is quite hard. An article from a user. This howto describes a little bit more accurately how to install openCV on linux. The original howto can be found here.
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ROS.org | Powering the world's robots
Saved by uncleflo on June 20th, 2014.
The Robot Operating System (ROS) is a set of software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools. Back in 2009, I was in the middle of programming my own general framework for robotics using Windows and C# when I came across a video of the Willow Garage PR2 plugging itself into a regular wall socket to recharge. Without another thought, I deleted every line of code I had written over the past two years, installed Linux over Windows and jumped on the ROS train..." -- Patrick Goebel, Pi RobotBack in 2009, I was in the middle of programming my own general framework for robotics using Windows and C# when I came across a video of the Willow Garage PR2 plugging itself into a regular wall socket to recharge. Without another thought, I deleted every line of code I had written over the past two years, installed Linux over Windows and jumped on the ROS train..." -- Patrick Goebel, Pi Robot
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Stereo-vision (image rectification) Python OpenCV Tutorial
Saved by uncleflo on September 15th, 2012.
Stereo vision is a useful tool to allow for users to detail greater image detail, based on epipolar geometry of two parrallel views. Since the cameras are separated, and subject to their own distortion, these images need to be Stereo Rectified in before any further processing can be done. This is important for 3D vision, and depth perception. OpenCV [conventionlly] uses a Chessboard pattern to calibrate a camera. Presenting a pattern which is regular to the camera will allow decisions regarding any radial distortions to be made. See previous tutorial for single camera calibration.
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A simple object classifier with Bag-of-Words using OpenCV 2.3 [w/ code] | More Than Technical
Saved by uncleflo on August 25th, 2012.
Just wanted to share of some code I’ve been writing. So I wanted to create a food classifier, for a cool project down in the Media Lab called FoodCam. It’s basically a camera that people put free food under, and they can send an email alert to the entire building to come eat (by pushing a huge button marked “Dinner Bell”). Really a cool thing. OK let’s get down to business. I followed a very simple technique described in this paper. I know, you say, “A Paper? Really? I’m not gonna read that technical boring stuff, give the bottom line! man.. geez.” Well, you are right, except that this paper IS the bottom line, it’s dead simple. It’s almost a tutorial. It is also referenced by the OpenCV documentation.
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Inflomatik Florian-Michael Adolf
Saved by uncleflo on August 23rd, 2012.
As long as I do not invest time for newer content the following content might still be of interest for you.
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OpenCV_GPU - OpenCV Wiki
Saved by uncleflo on August 23rd, 2012.
The OpenCV GPU module is a set of classes and functions to utilize GPU computational capabilities. It is implemented using NVidia CUDA Runtime API , so only that vendor GPUs are supported. It includes utility functions, low level vision primitives as well as high level algorithms. I.e. the module is being developed as a powerful infrastructure for fast vision algorithms building on GPU with some high level state of the art functionality.
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www.martinperis.com
Saved by uncleflo on August 19th, 2012.
Welcome to www.martinperis.com Thank you for visiting this website, currently I am working to get it up and running as soon as possible. In the mean time you can visit my blog http://blog.martinperis.com. See you soon!!
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Amazon.com: Learning OpenCV: Computer Vision with the OpenCV Library (9780596516130): Gary Bradski, Adrian Kaehler: Books
Saved by uncleflo on July 5th, 2012.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data. Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
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Basic C Structures and Operations — OpenCV v2.4.1 documentation
Saved by uncleflo on June 25th, 2012.
The section describes the main data structures, used by the OpenCV 1.x API, and the basic functions to create and process the data structures.
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OpenCV 2.1 C Reference — opencv v2.1 documentation
Saved by uncleflo on June 25th, 2012.
Table Of Contents, OpenCV 2.1 C Reference, Indices and tables. This is the beginning page for the C reference for OpenCV v2.1
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OpenCV Tutorial 5
Saved by uncleflo on June 24th, 2012.
The first transform I will cover is Canny Edge Detection. The book describes Sobel and Laplace operators for gradient detection, for more technical details about their function please see the text. The Canny Edge Detection algorithm takes the derivative of an image to find the gradients, then determines the direction of these gradients (vertical, horizontal, diagonal up, diagonal down). Then if the amplitude of a given gradient is high enough (the high threshold), the algorithm will trace along that gradient in its direction until the amplitude falls below the low threshold, or the gradient changes direction sharply. The algorithm will also suppress local non-maximums around the edges. cvCanny implements this algorithm. The inputs are the two images to be used, the thresholds, and the aperature size of the convolution kernal. For this example I created two sliders that adjust the thresholds, try moving the sliders and see the effect of the thresholds on the resulting edges.
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