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Eulerian Video Magnification

Eulerian Video Magnification
banner slider Many seemingly static scenes contain subtle changes that are invisible to the naked human eye. However, it is possible to pull out these small changes from videos through the use of algorithms we have developed. We give a way to visualize these small changes by amplifying them and we present algorithms to pull out interesting signals from these videos, such as the human pulse, sound from vibrating objects and the motion of hot air. Videos Software and Code Eulerian Video Magnification code Matlab code and executables implementing Eulerian video processing for amplifying color and motion changes. Phase Based Video Motion Processing code Matlab code for implementing the new and improved phase-based motion magnification pipeline. Videoscope Web interface for motion and color magnification. Publications (Magnifying Motion and Color Changes) Publications (Analysis of Small Motions) People Faculty: Students, Postdocs and Affiliates: Collaborators: Edward H. Talks

Statistical Formulas For Programmers By Evan Miller DRAFT: May 19, 2013 Being able to apply statistics is like having a secret superpower. Where most people see averages, you see confidence intervals. When someone says “7 is greater than 5,” you declare that they're really the same. In a cacophony of noise, you hear a cry for help. Unfortunately, not enough programmers have this superpower. As my modest contribution to developer-kind, I've collected together the statistical formulas that I find to be most useful; this page presents them all in one place, a sort of statistical cheat-sheet for the practicing programmer. Most of these formulas can be found in Wikipedia, but others are buried in journal articles or in professors' web pages. Send suggestions and corrections to emmiller@gmail.com Table of Contents 1. One of the first programming lessons in any language is to compute an average. 1.1 Corrected Standard Deviation The standard deviation is a single number that reflects how spread out the data actually is. Where: SE=s√N 2. 3.

Overdrivr/Telemetry: First class data visualization and communication with embedded devices Platforms The Aalto University Platforms are designed to initiate and coordinate multi- and interdisciplinary research and teaching in some thematic area. The Platforms bring together Aalto's competences in the area, and increase Aalto's external visibility. Primary purposes of the Platforms are to facilitate and strengthen the industry-academia collaboration, and to increase the internal cooperation within the University. The Platforms and their agendas are born through a bottom-up process, and aim at concrete benefits for the participating actors.

Big-O Algorithm Complexity Cheat Sheet Johnny Depp Johnny Depp [ˈd͡ʒɑni dɛp][1] est un acteur, réalisateur, guitariste, chanteur, scénariste et producteur de cinéma américain, né le 9 juin 1963 à Owensboro (Kentucky). D'une manière générale, les personnages les plus atypiques qu'il incarne sont aussi audacieux qu'originaux et se démarquent du commun des mortels. Au début des années 1990, il a commencé à collaborer avec celui qui est devenu son réalisateur fétiche et son ami, Tim Burton, avec lequel il a tourné huit films. De 1998 à 2012, il forme un couple iconique avec la chanteuse et actrice française Vanessa Paradis. Biographie[modifier | modifier le code] Jeunesse[modifier | modifier le code] Carrière[modifier | modifier le code] Débuts et révélation hollywoodienne (années 1990)[modifier | modifier le code] Après avoir quitté l'école à l'âge de seize ans, il rejoint le groupe Bad Boys - qui deviendra The Kids - et fait la première partie de la tournée d'Iggy Pop. Progression commerciale (années 2010)[modifier | modifier le code] Scène :

GRADO DE ESTADÍSTICA Universitat de Barcelona Informació sobre: Idiomes Cercador Serveis Estudis de grau Inicio > Estudios y Docencia > Oferta formativa > Grados > E > GRADO DE ESTADÍSTICA ¿Qué se pretende con esta enseñanza? Formar profesionales de la estadística, capacitados para llevar a cabo las tareas específicas del proceso de análisis de la información y toma de decisiones, incidiendo en: La obtención y el tratamiento de datos. Imprimir la ficha del grado Enlaces de interés Acceso directo a: Omitir los accesos directos Mas información Servicio de Atención al EstudianteTel. 933 556 000 Fax 934 035 917Buzón de consultasHorarios, localización y transportes Síguenos: Miembro de: Dos Campus de Excelencia Internacional Footer © Universitat de Barcelona

Essential Math for Games Programmers As the quality of games has improved, more attention has been given to all aspects of a game to increase the feeling of reality during gameplay and distinguish it from its competitors. Mathematics provides much of the groundwork for this improvement in realism. And a large part of this improvement is due to the addition of physical simulation. Creating such a simulation may appear to be a daunting task, but given the right background it is not too difficult, and can add a great deal of realism to animation systems, and interactions between avatars and the world. This tutorial deepens the approach of the previous years' Essential Math for Games Programmers, by spending one day on general math topics, and one day focusing in on the topic of physical simulation. Topics for the various incarnations of this tutorial can be found below. Current Materials Slides The latest available versions of the slides for the math tutorials at GDC 2015 are as follows: Past Materials Core Mathematics

Google © 2021 - Privacy - Terms Radically Cheap: The Story of Pat Delany, Open Source Machine Tools Advocate The ex-rancher felt empathy push his problem-solving mind into a new direction. He looked back at all those years he had tinkered with junk-built machine tools in his workshop — all that time spent poring over scans of antique how-to magazines looking for clever hacks to avoid having to buy new tools. It was fun and sometimes necessary for me, he thought, but what I’ve created here can also help many people. This is the story of Pat Delany, one of the leading creative voices in Appropriate Technology — technology that is small-scale, decentralized, labor-intensive, energy-efficient, environmentally sound, and locally controlled. This 78-year-old grandfather came to the field as an outsider, inspired by a second-hand description of a news photo. But his visionary home-built machine-tool designs now have the potential to help millions bootstrap themselves out of poverty. Delany had worked with machines for his entire life and built many machines for himself. The MultiMachine Lost Wisdom

Bit Twiddling Hacks By Sean Eron Anderson seander@cs.stanford.edu Individually, the code snippets here are in the public domain (unless otherwise noted) — feel free to use them however you please. The aggregate collection and descriptions are © 1997-2005 Sean Eron Anderson. The code and descriptions are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY and without even the implied warranty of merchantability or fitness for a particular purpose. As of May 5, 2005, all the code has been tested thoroughly. Contents About the operation counting methodology When totaling the number of operations for algorithms here, any C operator is counted as one operation. Compute the sign of an integer The last expression above evaluates to sign = v >> 31 for 32-bit integers. Alternatively, if you prefer the result be either -1 or +1, then use: sign = +1 | (v >> (sizeof(int) * CHAR_BIT - 1)); // if v < 0 then -1, else +1 On the other hand, if you prefer the result be either -1, 0, or +1, then use:

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IEEE Global Humanitarian Technology Conference (GHTC) Public Domain Aeronautical Software (PDAS) The R Project for Statistical Computing

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