background preloader

* PCL - Point Cloud Library

* PCL - Point Cloud Library

http://www.pointclouds.org/

Related:  Computer VisionKinectho123

Point Cloud Library The Point Cloud Library (or PCL) is a large scale, open project for point cloud processing, started by Willow Garage, with the purpose to accelerate 3D algorithmic work in perception for use in robotic applications. The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation, to name a few. PCL is released under the terms of the BSD license and is open source software. It is free for commercial and research use. PCL Links Getting Started with Kinect and Processing So, you want to use the Kinect in Processing. Great. This page will serve to document the current state of my Processing Kinect library, with some tips and info. The current state of affairs Since the kinect launched in November 2010, there have been several models released.

simple-openni - OpenNI library for Processing This project is a simple OpenNI and NITE wrapper for Processing. Therefore not all functions of OpenNI are supported, it's meant more to deliver a simple access to the functionality of this library. For a detailed list of changes see the ChangeLog Version 1.96 Support for Win32/64, OSX32/64, Linux64 Installation is now much simpler --- OpenNI2 --- Version 0.26 Added the autocalibration, now you can only enter the scene and get the skeleton data without the psi pose Updated the examples to enable auto-calibration (User, User3d) Unified the SimpleOpenNI distribution library, from now there is only one library distribution for OSX,Windows and Linux.

* Multiple face detection and recognition in real time Download FaceRecPro Optimized Version: Source code, Demo: All binaries references, algorithm enhanced - 6.5 MB Introduction The facial recognition has been a problem very worked around the world for many persons; this problem has emerged in multiple fields and sciences, especially in computer science, others fields that are very interested In this technology are: Mechatronic, Robotic, criminalistics, etc. In this article I work in this interesting topic using EmguCV cross platform .Net wrapper to the Intel OpenCV image processing library and C# .Net, these library’s allow me capture and process image of a capture device in real time. The main goal of this article is show and explains the easiest way how implement a face detector and recognizer in real time for multiple persons using Principal Component Analysis (PCA) with eigenface for implement it in multiple fields. Background

Kinect + Emgu « Geek-Press Sorry about the inactivity but having and a daytime job and girlfriend sometimes leaves us without time. Started to play with Computer Vision and Kinect, didn't done a big thing but I was completly unaware of how CV works and after reading a while about it I hear that Emgu is a great wrapper for openCV library. In fact you can do some face detection without any worries at all. So let's do a hands-on on this library For this example you need This last one is great for helping to pass the kinect raw data to bitmaps Kinect for Processing Library Updates 05/07/2014 – The library is renamed again to Kinect4WinSDK in order not to use the prefix P or P5. It has been built in Windows 7, Kinect for Windows SDK 1.8, Java JRE 1.7u60 and Processing 2.2.1. 05/04/2014 – The library is renamed to P5Kinect according to suggestion from the Processing community, in order not to mix up with official Processing class. 28/03/2014 – The library is updated for the use of Kinect for Windows SDK 1.8, Java JRE 1.7u51 and Processing 2.1.1. Introduction

Finally A TV Ad That Encourages Hand Gestures: Brainient Taps Kinect For Interactive TV Ads European online video startup, Brainient, whose BrainRolls system enables advertisers to incorporate interactive elements into online video adverts to boost brand engagement and recognition — such as clickable Facebook Like buttons and photo galleries — is tapping into Microsoft’s Xbox Kinect gesture-based controller to push into the connected TV space. Brainient already sells its BrainRolls product for viewing video ads on computers, smartphones and tablets — its system automatically tailors the ad to the type of screen it’s being viewed on, and can therefore offer advertisers the ability to run what is effectively the same campaign across a variety of devices. Today it’s opening a new front with the launch of an interactive video ad that taps up Kinect gestures to extend interactive video ads to connected TVs.

Face detection using HTML5, javascript, webrtc, websockets, Jetty and OpenCV Through HTML5 and the corresponding standards, modern browsers get more standarized features with every release. Most people have heard of websockets that allows you to easily setup a two way communication channel with a server, but one of the specifications that hasn't been getting much coverage is the webrtc specificiation. With the webrtc specification it will become easier to create pure HTML/Javascript real-time video/audio related applications where you can access a user's microphone or webcam and share this data with other peers on the internet. For instance you can create video conferencing software that doesn't require a plugin, create a baby monitor using your mobile phone or more easily facilitate webcasts.

Kinect Hacking using Processing About Processing from Processing.org: Processing is an open source programming language and environment for people who want to create images, animations, and interactions. Initially developed to serve as a software sketchbook and to teach fundamentals of computer programming within a visual context, Processing also has evolved into a tool for generating finished professional work. Today, there are tens of thousands of students, artists, designers, researchers, and hobbyists who use Processing for learning, prototyping, and production. About Kinect The Kinect is a stereo camera (actually triple camera including the IR sensor) that has some pretty sophisticated firmware algorithms that can spit out a wide variety of depth and motion tracking data. Rhonda Software: Computer Vision Computer Vision is relatively new but most rapidly growing domain of Rhonda's expertise. Since 2007 Rhonda has been doing research and development in this area. As the mainstream of CV R&D, Rhonda is planning to release two Audience Measurement products. Rhonda also offers CV custom-oriented solutions in other domains like barcodes, tools and pattern recognition. Rhonda leverages modern CV-methods and mathematical approaches:

121VIEW Digital Signage Media Who We Are 121View is a digital media software development company. We provide two way digital signage media networks that interact with customers in the marketplace. We target high traffic areas, customer point of purchase decision and information transfer locations such as shopping malls, mass transit systems, hospitals, retail, education, government and entertainment venues. view details What We Do How Face Detection Works OpenCV's face detector uses a method that Paul Viola and Michael Jones published in 2001. Usually called simply the Viola-Jones method, or even just Viola-Jones, this approach to detecting objects in images combines four key concepts: Simple rectangular features, called Haar features An Integral Image for rapid feature detection The AdaBoost machine-learning method A cascaded classifier to combine many features efficiently The features that Viola and Jones used are based on Haar wavelets. Haar wavelets are single wavelength square waves (one high interval and one low interval). In two dimensions, a square wave is a pair of adjacent rectangles - one light and one dark.

Face Recognition with OpenCV — OpenCV v2.4.2 documentation Introduction OpenCV (Open Source Computer Vision) is a popular computer vision library started by Intel in 1999. The cross-platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms.

Related: