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Author Mildred Cruz; Cristhian A. Aguilera; Boris X. Vintimilla; Ricardo Toledo; Ángel D. Sappa
Title Cross-spectral image registration and fusion: an evaluation study Type Conference Article
Year 2015 Publication 2nd International Conference on Machine Vision and Machine Learning Abbreviated Journal
Volume 331 Issue Pages (down)
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.
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Publisher Computer Vision Center Place of Publication Barcelona, Spain Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number cidis @ cidis @ Serial 35
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla
Title Learning to Colorize Infrared Images Type Conference Article
Year 2017 Publication 15th International Conference on Practical Applications of Agents and Multi-Agent Systems Abbreviated Journal
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Call Number cidis @ cidis @ Serial 58
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Author Nayeth I. Solorzano Alcivar, Robert Loor, Stalyn Gonzabay Yagual, & Boris X. Vintimilla
Title Statistical Representations of a Dashboard to Monitor Educational Videogames in Natural Language Type Conference Article
Year 2020 Publication ETLTC – ACM Chapter: International Conference on Educational Technology, Language and Technical Communication; Fukushima, Japan, 27-31 Enero 2020 Abbreviated Journal
Volume 77 Issue Pages (down)
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Abstract This paper explains how Natural Language (NL) processing by computers, through smart

programs as a way of Machine Learning (ML), can represent large sets of quantitative data as written

statements. The study recognized the need to improve the implemented web platform using a

dashboard in which we collected a set of extensive data to measure assessment factors of using

children´s educational games. In this case, applying NL is a strategy to give assessments, build, and

display more precise written statements to enhance the understanding of children´s gaming behavior.

We propose the development of a new tool to assess the use of written explanations rather than a

statistical representation of feedback information for the comprehension of parents and teachers with

a lack of primary level knowledge in statistics. Applying fuzzy logic theory, we present verbatim

explanations of children´s behavior playing educational videogames as NL interpretation instead of

statistical representations. An educational series of digital game applications for mobile devices,

identified as MIDI (Spanish acronym of “Interactive Didactic Multimedia for Children”) linked to a

dashboard in the cloud, is evaluated using the dashboard metrics. MIDI games tested in local primary

schools helps to evaluate the results of using the proposed tool. The guiding results allow analyzing

the degrees of playability and usability factors obtained from the data produced when children play a

MIDI game. The results obtained are presented in a comprehensive guiding evaluation report

applying NL for parents and teachers. These guiding evaluations are useful to enhance children's

learning understanding related to the school curricula applied to ludic digital games.
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Call Number cidis @ cidis @ Serial 131
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Author Omar Coello, Moisés Coronel, Darío Carpio, Boris X. Vintimilla & Luis Chuquimarca
Title Enhancing Apple’s Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging Type Conference Article
Year 2024 Publication 14th International Conference on Pattern Recognition Systems (ICPRS) Londres 15 – 18 July 2024 Abbreviated Journal
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ISSN ISBN 979-835037565-7 Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 244
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Author Luis Chuquimarca, Boris X. Vintimilla & Sergio Velastin
Title Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models Type Conference Article
Year 2024 Publication 14th International Conference on Pattern Recognition Systems (ICPRS) Londres 15 – 18 July 2024 Abbreviated Journal
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ISSN ISBN 979-835037565-7 Medium
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Notes Approved no
Call Number cidis @ cidis @ Serial 245
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Author Kevin E. Munoz, Loberlly N. Salazar, Steven S. Araujo, and Boris X. Vintimilla
Title Stereo Vision Techniques: A Comparative Study of Traditional and Machine Learning-Based Approaches Type Conference Article
Year 2025 Publication 5th International Conference on Computer Vision and Robotics CVR 2025 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 280
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Author Kevin E. Muñoz Loberlly N. Salazar Steven S. Araujo Boris X. Vintimilla
Title Detecting and Characterizing Human Interactions to EnhanceHuman-Robot Engagement Type Conference Article
Year 2025 Publication 3rd International Conference on Robotics, Control and Vision Engineering RCVE 2025 Abbreviated Journal
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Notes Approved no
Call Number cidis @ cidis @ Serial 281
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