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Author Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla pdf  url
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  Title Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. Type Journal Article
  Year (down) 2015 Publication Revista Tecnológica ESPOL-RTE Abbreviated Journal  
  Volume Vol. 28 Issue Pages pp. 1-7  
  Keywords Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb  
  Abstract Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores.  
  Address  
  Corporate Author Thesis  
  Publisher ESPOL Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 39  
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Author Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa pdf  openurl
  Title Cross-spectral image registration and fusion: an evaluation study Type Conference Article
  Year (down) 2015 Publication 2nd International Conference on Machine Vision and Machine Learning Abbreviated Journal  
  Volume 331 Issue Pages  
  Keywords multispectral imaging; image registration; data fusion; infrared and visible spectra  
  Abstract This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented.  
  Address  
  Corporate Author Thesis  
  Publisher Computer Vision Center Place of Publication Barcelona, Spain Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number cidis @ cidis @ Serial 35  
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