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Author Henry Velesaca Lara, Juan Antonio Holgado & José Miguel Gutiérrez
Title Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA Type Conference Article
Year 2024 Publication Second International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development (CIIA 2024) Abbreviated Journal
Volume Vol. 532 Issue Pages
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Call Number cidis @ cidis @ Serial 242
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Author Patricia Suarez, Angel Sappa
Title Depth-Conditioned Thermal-like Image Generation Type Conference Article
Year 2024 Publication Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS) Abbreviated Journal
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Call Number cidis @ cidis @ Serial 243
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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 Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS) Abbreviated Journal
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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 Siamese Architecture and CNN Models Type Conference Article
Year 2024 Publication Accepted in 14th International Conference on Pattern Recognition Systems (ICPRS) Abbreviated Journal
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Call Number cidis @ cidis @ Serial 245
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Author Jácome Galarza, Luis Roberto
Title Estimation of Corn Crop Yield using Multimodal Deep Learning from Multispectral Images and Environmental Sensors Type Conference Article
Year 2024 Publication In accepted in 19ª Conferência Ibérica de Sistemas e Tecnologias de Informação; CISTI'2024 Abbreviated Journal
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Call Number cidis @ cidis @ Serial 246
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Author P. Ricaurte; C. Chilán; C. A. Aguilera-Carrasco; B. X. Vintimilla; Angel D. Sappa
Title Performance Evaluation of Feature Point Descriptors in the Infrared Domain Type Conference Article
Year 2014 Publication Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2013 Abbreviated Journal
Volume 1 Issue Pages 545 -550
Keywords Infrared Imaging, Feature Point Descriptors
Abstract This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered.
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Publisher IEEE Place of Publication Editor
Language English Summary Language English Original Title
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Area Expedition Conference (up) 2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Notes Approved no
Call Number cidis @ cidis @ Serial 26
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Author N. Onkarappa; Cristhian A. Aguilera; B. X. Vintimilla; Angel D. Sappa
Title Cross-spectral Stereo Correspondence using Dense Flow Fields Type Conference Article
Year 2014 Publication Computer Vision Theory and Applications (VISAPP), 2014 International Conference on, Lisbon, Portugal, 2014 Abbreviated Journal
Volume 3 Issue Pages 613 - 617
Keywords Cross-spectral Stereo Correspondence, Dense Optical Flow, Infrared and Visible Spectrum
Abstract This manuscript addresses the cross-spectral stereo correspondence problem. It proposes the usage of a dense flow field based representation instead of the original cross-spectral images, which have a low correlation. In this way, working in the flow field space, classical cost functions can be used as similarity measures. Preliminary experimental results on urban environments have been obtained showing the validity of the proposed approach.
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Publisher IEEE Place of Publication Editor
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Area Expedition Conference (up) 2014 International Conference on Computer Vision Theory and Applications (VISAPP)
Notes Approved no
Call Number cidis @ cidis @ Serial 27
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Author Ricardo Cajo; Wilton Agila
Title Evaluation of algorithms for linear and nonlinear PID control for Twin Rotor MIMO System Type Conference Article
Year 2015 Publication Computer Aided System Engineering (APCASE), 2015 Asia-Pacific Conference on, Quito, 2015 Abbreviated Journal
Volume Issue Pages 214-219
Keywords Twin Rotor MIMO System (TRMS); Proportional-Integral-Derivative (PID); Linear PID Controller; Nonlinear PID Controller; Nonlinear Observer
Abstract In this paper the linear and nonlinear PID control algorithms are analyzed and for a twin rotor MIMO system (TRMS), whose characteristic is not linear with two degrees of freedom and cross-links. The aim of this work is to stabilize the TRMS, to achieve a particular position and follow a trajectory in the shortest time. Mathematical modeling of helicopter model is simulated using MATLAB / Simulink, the two degrees of freedom are controlled both horizontally and vertically through the proposed controllers. Also nonlinear segmented observers for each degree of freedom are designed in order to measure statements required by the nonlinear controller. Followed, a comparative analysis of both algorithms is presented to evaluate their performance in the real TRMS.
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Publisher IEEE Place of Publication Editor
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Area Expedition Conference (up) 2015 Asia-Pacific Conference on Computer Aided System Engineering
Notes Approved no
Call Number cidis @ cidis @ Serial 36
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Author Cristhian A. Aguilera; Angel D. Sappa; R. Toledo
Title LGHD: A feature descriptor for matching across non-linear intensity variations Type Conference Article
Year 2015 Publication IEEE International Conference on, Quebec City, QC, 2015 Abbreviated Journal
Volume Issue Pages 178 - 181
Keywords Feature descriptor, multi-modal, multispectral, NIR, LWIR
Abstract This paper presents a new feature descriptor suitable to the task of matching features points between images with nonlinear intensity variations. This includes image pairs with significant illuminations changes, multi-modal image pairs and multi-spectral image pairs. The proposed method describes the neighbourhood of feature points combining frequency and spatial information using multi-scale and multi-oriented Log- Gabor filters. Experimental results show the validity of the proposed approach and also the improvements with respect to the state of the art.
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Publisher IEEE Place of Publication Quebec City, QC, Canada Editor
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Area Expedition Conference (up) 2015 IEEE International Conference on Image Processing (ICIP)
Notes Approved no
Call Number cidis @ cidis @ Serial 40
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Author M. Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel D. Sappa; A. Tomé
Title Concurrent Learning of Visual Codebooks and Object Categories in Open- ended Domains Type Conference Article
Year 2015 Publication Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, 2015 Abbreviated Journal
Volume Issue Pages 2488 - 2495
Keywords Birds, Training, Legged locomotion, Visualization, Histograms, Object recognition, Gaussian mixture model
Abstract In open-ended domains, robots must continuously learn new object categories. When the training sets are created offline, it is not possible to ensure their representativeness with respect to the object categories and features the system will find when operating online. In the Bag of Words model, visual codebooks are usually constructed from training sets created offline. This might lead to non-discriminative visual words and, as a consequence, to poor recognition performance. This paper proposes a visual object recognition system which concurrently learns in an incremental and online fashion both the visual object category representations as well as the codebook words used to encode them. The codebook is defined using Gaussian Mixture Models which are updated using new object views. The approach contains similarities with the human visual object recognition system: evidence suggests that the development of recognition capabilities occurs on multiple levels and is sustained over large periods of time. Results show that the proposed system with concurrent learning of object categories and codebooks is capable of learning more categories, requiring less examples, and with similar accuracies, when compared to the classical Bag of Words approach using codebooks constructed offline.
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Publisher IEEE Place of Publication Hamburg, Germany Editor
Language English Summary Language English Original Title
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Area Expedition Conference (up) 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Notes Approved no
Call Number cidis @ cidis @ Serial 41
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