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	Author	Miguel Oliveira; Vítor Santos; Angel D. Sappa; Paulo Dias
	Title	Scene representations for autonomous driving: an approach based on polygonal primitives			Type	Conference Article
	Year	2015	Publication	Iberian Robotics Conference (ROBOT 2015), Lisbon, Portugal, 2015	Abbreviated Journal
	Volume	417	Issue		Pages	503-515
	Keywords	Scene reconstruction, Point cloud, Autonomous vehicles
	Abstract	In this paper, we present a novel methodology to compute a 3D scene representation. The algorithm uses macro scale polygonal primitives to model the scene. This means that the representation of the scene is given as a list of large scale polygons that describe the geometric structure of the environment. Results show that the approach is capable of producing accurate descriptions of the scene. In addition, the algorithm is very efficient when compared to other techniques.
	Address
	Corporate Author				Thesis
	Publisher	Springer International Publishing Switzerland 2016	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	Second Iberian Robotics Conference
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	45
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	Author	Patricia L. Suarez, Dario Carpio, Angel D. Sappa
	Title	Enhancement of Guided Thermal Image Super-Resolution Approaches			Type	Journal
	Year	2024	Publication	Neurocomputing	Abbreviated Journal
	Volume	573	Issue		Pages
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference	Neurocomputing
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	247
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	Author	A. Amato; F. Lumbreras; Angel D. Sappa
	Title	A general-purpose crowdsourcing platform for mobile devices			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	211-215
	Keywords	Crowdsourcing Platform, Mobile Crowdsourcing
	Abstract	This paper presents details of a general purpose micro-taskon-demand platform based on the crowdsourcing philosophy. This platformwas specifically developed for mobile devices in order to exploit the strengths of such devices; namely: i) massivity, ii) ubiquityand iii) embedded sensors.The combined use of mobile platforms and the crowdsourcing model allows to tackle from the simplest to the most complex tasks.Users experience is the highlighted feature of this platform (this fact is extended to both task-proposer and task- solver).Proper tools according with a specific task are provided to a task-solver in order to perform his/her job in a simpler, faster and appealing way.Moreover, a task can be easily submitted by just selecting predefined templates, which cover a wide range of possible applications.Examples of its usage in computer vision and computer games are provided illustrating the potentiality of the platform.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication	Lisbon, Portugal	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	Computer Vision Theory and Applications (VISAPP), 2014 International Conference on
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	25
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	Author	Wilton Agila; Ricardo Cajo; Douglas Plaza
	Title	Experts Agents in PEM Fuel Cell Control			Type	Conference Article
	Year	2015	Publication	4ta International Conference on Renewable Energy Research and Applications	Abbreviated Journal
	Volume		Issue		Pages	896 - 900
	Keywords	s- PEM Fuel Cell; Expert Agent; Perceptive Agents; Acting Agent; Fuzzy Controller
	Abstract	In the control of the PEM (Proton Exchange Membrane) fuel cell, the existence of both deliberative and reactive processes that facilitate the tasks of control resulting from a wide range of operating scenarios and range of conditions it is required. The latter is essential to adjust its parameters to the multiplicity of circumstances that may occur in the operation of the PEM stack. In this context, the design and development of an expert-agents based architecture for autonomous control of the PEM stack in top working conditions is presented. The architecture integrates perception and control algorithms using sensory and context information. It is structured in a hierarchy of levels with different time window and level of abstraction. The monitoring model and autonomic control of PEM stack has been validated with different types of PEM stacks and operating conditions demonstrating high reliability in achieving the objective of the proposed energy efficiency. Dynamic control of the wetting of the membrane is a clear example.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication	Palermo, Italy	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	2015 International Conference on Renewable Energy Research and Applications (ICRERA)
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	46
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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.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication	Hamburg, Germany	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	2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	41
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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.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	Place of Publication	Quebec City, QC, Canada	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	2015 IEEE International Conference on Image Processing (ICIP)
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	40
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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.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	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	2015 Asia-Pacific Conference on Computer Aided System Engineering
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	36
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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.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	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	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.
	Address
	Corporate Author				Thesis
	Publisher	IEEE	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	2014 International Conference on Computer Vision Theory and Applications (VISAPP)
	Notes				Approved	no
	Call Number	cidis @ cidis @			Serial	27
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	Author	Roberto Jacome Galarza; Miguel-Andrés Realpe-Robalino; Chamba-Eras LuisAntonio; Viñán-Ludeña MarlonSantiago and Sinche-Freire Javier-Francisco
	Title	Computer vision for image understanding. A comprehensive review			Type	Conference Article
	Year	2019	Publication	International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019); Quito, Ecuador	Abbreviated Journal
	Volume		Issue		Pages	248-259
	Keywords
	Abstract	Computer Vision has its own Turing test: Can a machine describe the contents of an image or a video in the way a human being would do? In this paper, the progress of Deep Learning for image recognition is analyzed in order to know the answer to this question. In recent years, Deep Learning has increased considerably the precision rate of many tasks related to computer vision. Many datasets of labeled images are now available online, which leads to pre-trained models for many computer vision applications. In this work, we gather information of the latest techniques to perform image understanding and description. As a conclusion we obtained that the combination of Natural Language Processing (using Recurrent Neural Networks and Long Short-Term Memory) plus Image Understanding (using Convolutional Neural Networks) could bring new types of powerful and useful applications in which the computer will be able to answer questions about the content of images and videos. In order to build datasets of labeled images, we need a lot of work and most of the datasets are built using crowd work. These new applications have the potential to increase the human machine interaction to new levels of usability and user’s satisfaction.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		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	gtsi @ user @			Serial	97
Permanent link to this record