[Spanish] Presentación Trabajo Fin de Grado de Cristina Rodríguez Recio

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[Spanish] Presentación Trabajo Fin de Grado de Ana Mantecón Jené

Documento [pdf] de la presentación y vídeo:

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[Spanish] Presentación Trabajo Fin de Grado de Carmen Alabart Gutierrez del Olmo

Documento [pdf] de la presentación y vídeo: 

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UPM pre-doctoral scholarships in Spain [in Spanish]

Ya están disponibles las bases y la convocatoria para 20 plazas de contratos predoctorales.
Esta convocatoria permite a nuestros estudiantes de doctorado un acceso a las actividades de investigación encaminadas a enriquecer su formación y fortalecer la investigación de nuestra universidad.
El plazo de solicitud ya está abierto y cerrará a mediados del mes de septiembre, para que de esa manera los estudiantes beneficiarios puedan incorporarse al curso de doctorado 2015/2016.
Puedes encontrar toda la información en el siguiente enlace:
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OpenCV seminar: Processing Images with Classes (by Ana Isabel Maqueda Nieto)

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HMI demonstrator

Different sensors have been jointly displayed at the same computer using one large monitor with the aim of making test of different research lines of this group. This setup has been mainly thank for testing different research solutions related to Human-Machine Interaction using different sensors that combines color and depth information.
Sensors:
  • Microsoft Kinect v2 [Link].
    • Depth.
      • Resolution: 512 x 424 pixels.
      • FOV: 70 x 60.
      • Range: 0.5-4.5 m.
    • Color.
      • Resolution: 1080p.
  • DS 325 [Link].
    • Depth.
      • Resolution: 320 x 240 pixels.
      • Range: 0.15-1 m.
    • Color.
      • Resolution: 720p.
  • DS 311.
    • Depth.
      • Resolution: 160 x 120 pixels.
      • Range.
        • Short: 0.15-1 m.
        • Long: 1.5-4.5 m.
    • Color.
      • Resoluiton: 640 x 480 pixels.
  • Leap Motion [Link].

                                                 DS 325                                          Kinect v2
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Microsoft software for the Universidad Politécnica de Madrid

[Link]

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“Get Me Off Your Fucking Mailing List” is an actual science paper accepted by a journal

Extract from  http://www.vox.com/2014/11/21/7259207/scientific-paper-scam:

The paper titled “Get me off your fucking mailing list” has been accepted by the International Journal of Advanced Computer Technology. 

Let us explain. 

The journal, despite its distinguished name, is a predatory open-access journal, as noted by io9. These sorts of low-quality journals spam thousands of scientists, offering to publish their work for a fee. 

In 2005, computer scientists David Mazières and Eddie Kohler created this highly profane ten-page paper as a joke, to send in replying to unwanted conference invitations. It literally just contains that seven-word phrase over and over, along with…

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Image Recognition Market worth $25.65 Billion by 2019

By Mr. Rohan

North – Dominion Plaza,
17304,Preston Road,
Suite 800, Dallas, TX 75252 
Tel: +1-888-600-6441
Email: sales@marketsandmarkets.com

The report “Image Recognition Market [Method (OCR, Object, Pattern Matching, Barcode/ QR, Facial), Application (Security & Surveillance, Quality Control & Inventory Management, Advertising, Scanning & Imaging, m-Commerce)] – Worldwide Market Forecast (2014-2019)” defines and divides the image recognition market into various subsegments along with a detailed analysis and forecasting of segment-wise revenues. It also explains the drivers and restraints for this market and identifies the opportunities, challenges, and ongoing trends.

http://www.marketsandmarkets.com/Market-Reports/image-recognition-market-222404611.html

Today, the image recognition solutions are not only fulfilling basic human requirements, such as purchasing numerous products through smartphone-based applications, but are also providing state-of-the-art technology facilitated equipment for sensitive layouts such as defense, airports, immigration, and customs departments. Also, the Intelligent Character Recognition (ICR) technology is used in sorting and enumerating important files for organizational purposes. It helps in accessing a particular document with ease and saving time.MarketsandMarkets has comprehensively divided the image recognition market by types: Optical Character Recognition (OCR), pattern and gradient matching, object recognition, barcode/QR code recognition, facial recognition; by components: hardware, software, and services; by deployment: on-premise and on-demand; by applications: security and surveillance, marketing and promotional activities, content management, advanced driving assistance, quality control and inventory management, scanning and imaging, m-commerce, and others; by verticals: government and defense, Banking, Financial services, and Insurance (BFSI), healthcare and life sciences, manufacturing/industrial units, consumer goods and retail, IT and telecommunication, transport and logistics and others; by regions: North America (NA), Europe (EU), Asia-Pacific (APAC), Latin America (LA) and Middle East and Africa (MEA).MarketsandMarkets believes that there is a lack of user awareness and a few technological quality issues in the image recognition market. These challenges are restraining businesses and customers from implementing image recognition technology to support a broad spectrum of applications, such as security and surveillance, marketing and promotional activities, content management, advanced driving assistance, quality control and inventory management, scanning and imaging, and m-commerce.The image recognition market is estimated to grow from $9.65 billion in 2014 to $25.65 billion by 2019 at a Compound Annual Growth Rate (CAGR) of 21.6% from 2014 to 2019. NA is the biggest market for image recognition solutions while other regions such as APAC and MEA are expected to increase with high CAGRs.

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Development of a hand-gesture recognition system for Human-Computer Interaction

Description

Presentation of a vision-based hand gesture recognition system carried out by Ana I. Maqueda-Nieto.
 
[Link]
 
 

Video demo

 

Database

https://sites.google.com/site/visualgestrecog/
http://www.gti.ssr.upm.es/data/HandGesture_database.html

 
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