The Semantic Web vision is to make the Web machine-readable, allowing computers to integrate information from disparate sources to achieve the goals of end users (see Semantic Web Roadmap). By augmenting web pages with descriptions of the content they hol
In order to provide you with the most up-to-date information possible in the Computer Vision Homepage, we have created a special page for all the submissions that have yet to be filed in their appropriate sub-pages. From time to time, our filing process g
Take free online classes from 80+ top universities and organizations. Coursera is a social entrepreneurship company partnering with Stanford University, Yale University, Princeton University and others around the world to offer courses online for anyone to take, for free. We believe in connecting people to a great education so that anyone around the world can learn without limits.
The Semantic Web is an evolving collection of knowledge, built to allow anyone on the Internet to add what they know and find answers to their questions. Information on the Semantic web, rather than being in natural language text, is maintained in a struc
CVL is a library for image and data processing using graphics processing units (GPUs).
CVL supports both netpbm images and pfs images and data, e.g. high dynamic range images. It uses OpenGL to process data on the GPU.
OpenVIDIA : GPU accelerated Computer Vision Library The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, using OpenGL and Cg. The project provides useful example programs which run real time computer vision algorit
Detlev Bieler, Magali und Merle berichten über unser neues Online-Tutorial VISION. VISION (Virtuelle Services für Informationen Online) ist ein Tutorial zum wissenschaftlichen Arbeiten. Es behandelt den Themenbereich der Produktion von Information fü
ClusterViz is a software to visualize the clustering process using the family of k-means algorithms. The program is free software under the GNU General Public License (GPL). ClusterViz allows to cluster data while visualizing an up to three dimensional projection. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
The NASA Vision Workbench (VW) is a general purpose image processing and computer vision library developed by the Autonomous Systems and Robotics (ASR) Area in the Intelligent Systems Division at the NASA Ames Research Center. VW has been publicly released under the terms of the NASA Open Source Software Agreement.
I joined the EVASION team in september 2006 in order to work on real time rendering of natural landscapes as a whole. I'm interested in the animation and realistic rendering of terrain, atmosphere, ocean, vegetation, rivers, clouds, etc. I'm looking for real-time and scalable algorithms allowing users to navigate freely anywhere in very large landscapes (up to whole planets), from ground to space, without visible transitions.
Mat estimateRigidTransform(const Mat& srcpt, const Mat& dstpt, bool fullAffine)¶ Computes optimal affine transformation between two 2D point sets Parameters: * srcpt – The first input 2D point set * dst – The second input 2D point set of the same size and the same type as A * fullAffine – If true, the function finds the optimal affine transformation with no any additional resrictions (i.e. there are 6 degrees of freedom); otherwise, the class of transformations to choose from is limited to combinations of translation, rotation and uniform scaling (i.e. there are 5 degrees of freedom) The function finds the optimal affine transform [A|b] (a 2 \times 3 floating-point matrix) that approximates best the transformation from \texttt{srcpt}_i to \texttt{dstpt}_i : [A^*|b^*] = arg \min _{[A|b]} \sum _i \| \texttt{dstpt} _i - A { \texttt{srcpt} _i}^T - b \| ^2 where [A|b] can be either arbitrary (when fullAffine=true ) or have form
Despite the dramatic shift toward simplification in software interfaces, the world of development tools continues to shrink our workspace with feature after feature in every release. Even with all of these things at our disposal, we're stuck in a world of files and forced organization - why are we still looking all over the place for the things we need when we're coding? Why is everything just static text?
Bret Victor hinted at the idea that we can do much better than we are now - we can provide instant feedback, we can show you how your changes affect a system.
This essay explores development of globally available digital reference works from their first imaginings to contemporary cases. My hope in undertaking such a project is to identify technical and social aspects of digital reference work production that can contribute to an understanding of a prominent contemporary exemplar, the Wikipedia, a free online encyclopedia
reacTIVision is an open source, cross-platform computer vision framework for the fast and robust tracking of fiducial markers attached onto physical objects, as well as for multi-touch finger tracking. It was mainly designed as a toolkit for the rapid development of table-based tangible user interfaces (TUI) and multi-touch interactive surfaces. This framework has been developed by Martin Kaltenbrunner and Ross Bencina at the Music Technology Group at the Universitat Pompeu Fabra in Barcelona, Spain as part of the the reacTable project, a novel electronic music instrument with a table-top multi-touch tangible user interface.
The Semantic Web vision is to make the Web machine-readable, allowing computers to integrate information from disparate sources to achieve the goals of end users (see Semantic Web Roadmap). By augmenting web pages with descriptions of the content they hol
A linear multi-scale, multi-orientation image decomposition that provides a useful front-end for many computer vision and image-processing applications.
Synopsis: Homography transform in Fourier spectrum with application to object recognition. Ideally, recognition of objects should be projection, scale, translation and rotation invariant, just as they are in human vision. This, however, is a very complex problem, since numerous times an object is occluded and many objects rarely appear the same twice, due to different camera/observer positions, variable lighting or object motion. Our goal in this regard is to investigate autonomous object recognition in unconstrained environments by means of outlines of the objects, which we will refer to as the contours. One of the reasons for the popularity of contour-based analysis techniques is that edge detection constitutes an important aspect of shape recognition by the human visual system. The main motivation behind this work is that 2-D homography may overcome the problem of noise sensitivity and boundary variations.
The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is allowing a new approach to the study of the built environment.
- http://senseable.mit.edu/obama/data_analysis.html
- http://senseable.mit.edu/realtimerome/
- http://senseable.mit.edu/trashtrack/
- http://www.mamartino.com/
- http://www.scientificamerican.com/article.cfm?id=ratti-smartest-cities-use-people-as-sensors Bilder:
- http://www.maind.supsi.ch/maindzine/wp-content/uploads/2008/10/fig-3.jpg
- http://flowingcity.com/wp-content/uploads/madonna-color-630x472.jpg
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Supercomputer predicts revolution:
http://www.bbc.co.uk/news/technology-14841018
Discover the cutting-edge world of augmented reality with Apple Vision Pro. This powerful tool combines advanced technology with Apple's innovative vision to unlock a new level of interactive experiences. Explore the possibilities today
Seam carving is a technique developed by Shai Avidan and Ariel Shamir for resizing images by removing the boring bits (content-aware image resizing as they call it).
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S. Nayar, V. Branzoi, and T. Boult. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, (27 June-2 July 2004)