| Records |
| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
Title  |
Multi-modal Aerial View Object Classification Challenge Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition (CVPR 2023) Vancouver, 18-28 junio 2023 |
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| Volume |
2023-June |
Issue |
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Pages |
412 - 421 |
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| ISSN |
21607508 |
ISBN |
979-835030249-3 |
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Approved |
no |
| Call Number |
cidis @ cidis @ |
Serial |
212 |
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| Author |
Spencer Low, Oliver Nina, Angel D. Sappa, Erik Blasch, Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: Translation from Synthetic Aperture Radar to Electro-Optical Domain Results – PBVS 2023 |
Type |
Conference Article |
| Year |
2023 |
Publication |
19th IEEE Workshop on Perception Beyond the Visible Spectrum de la Conferencia Computer Vision & Pattern Recognition (CVPR 2023) Vancouver, 18-28 junio 2023 |
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| Volume |
2023-June |
Issue |
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Pages |
515 - 523 |
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21607508 |
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979-835030249-3 |
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Approved |
no |
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cidis @ cidis @ |
Serial |
211 |
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| Author |
Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: Sensor Domain Translation |
Type |
Conference Article |
| Year |
2024 |
Publication |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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Pages |
3096 - 3104 |
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979-835036547-4 |
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no |
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cidis @ cidis @ |
Serial |
235 |
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| Author |
Angel D. Sappa, Spencer Low, Oliver Nina, Erik Blasch, Dylan Bowald & Nathan Inkawhich |
| Title |
Multi-modal Aerial View Image Challenge: SAR Classification |
Type |
Conference Article |
| Year |
2024 |
Publication |
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 Seattle 16 – 22 June 2024 |
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Issue |
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Pages |
3105 - 3112 |
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979-835036547-4 |
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no |
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cidis @ cidis @ |
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234 |
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| Author |
Rafael E. Rivadeneira, Angel D. Sappa and Boris X. Vintimilla |
| Title |
Multi-Image Super-Resolution for Thermal Images. |
Type |
Conference Article |
| Year |
2022 |
Publication |
Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISIGRAPP 2022 |
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| Volume |
4 |
Issue |
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Pages |
635 - 642 |
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no |
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cidis @ cidis @ |
Serial |
181 |
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| Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
| Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
Type |
Conference Article |
| Year |
2021 |
Publication |
In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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Issue |
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Pages |
2703-2712 |
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no |
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cidis @ cidis @ |
Serial |
148 |
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| Author |
Angel D. Sappa; Cristhian A. Aguilera; Juan A. Carvajal Ayala; Miguel Oliveira; Dennis Romero; Boris X. Vintimilla; Ricardo Toledo |
| Title |
Monocular visual odometry: a cross-spectral image fusion based approach |
Type |
Journal Article |
| Year |
2016 |
Publication |
Robotics and Autonomous Systems Journal |
Abbreviated Journal |
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| Volume |
Vol. 86 |
Issue |
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Pages |
pp. 26-36 |
| Keywords |
Monocular visual odometry LWIR-RGB cross-spectral imaging Image fusion |
| Abstract |
This manuscript evaluates the usage of fused cross-spectral images in a monocular visual odometry approach. Fused images are obtained through a Discrete Wavelet Transform (DWT) scheme, where the best setup is em- pirically obtained by means of a mutual information based evaluation met- ric. The objective is to have a exible scheme where fusion parameters are adapted according to the characteristics of the given images. Visual odom- etry is computed from the fused monocular images using an off the shelf approach. Experimental results using data sets obtained with two different platforms are presented. Additionally, comparison with a previous approach as well as with monocular-visible/infrared spectra are also provided showing the advantages of the proposed scheme. |
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Enlgish |
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English |
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no |
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cidis @ cidis @ |
Serial |
54 |
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| Author |
Byron Lima; Ricardo Cajo; Victor Huilcapi; Wilton Agila |
| Title |
Modeling and comparative study of linear and nonlinear controllers for rotary inverted pendulum |
Type |
Conference Article |
| Year |
2017 |
Publication |
Journal of Physics: Conference Series |
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| Volume |
783 |
Issue |
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Pages |
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The rotary inverted pendulum (RIP) is a problem difficult to control, several studies have been conducted where different control techniques have been applied. Literature reports that, although problem is nonlinear, classical PID controllers presents appropriate performances when applied to the system. In this paper, a comparative study of the performances of linear and nonlinear PID structures is carried out. The control algorithms are evaluated in the RIP system, using indices of performance and power consumption, which allow the categorization of control strategies according to their performance. This article also presents the modeling system, which has been estimated some of the parameters involved in the RIP system, using computer-aided design tools (CAD) and experimental methods or techniques proposed by several authors attended. The results indicate a better performance of the nonlinear controller with an increase in the robustness and faster response than the linear controller |
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English |
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English |
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no |
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gtsi @ user @ |
Serial |
69 |
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| Author |
Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. |
| Title |
Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. |
Type |
Conference Article |
| Year |
2021 |
Publication |
The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science |
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| Volume |
1388 |
Issue |
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Pages |
164-178 |
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no |
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cidis @ cidis @ |
Serial |
191 |
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| Author |
Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa |
| Title |
Melamine faced panels defect classification beyond the visible spectrum. |
Type |
Journal Article |
| Year |
2018 |
Publication |
In Sensors 2018 |
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| Volume |
Vol. 11 |
Issue |
Issue 11 |
Pages |
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| Abstract |
In this work, we explore the use of images from different spectral bands to classify defects in melamine faced panels, which could appear through the production process. Through experimental evaluation, we evaluate the use of images from the visible (VS), near-infrared (NIR), and long wavelength infrared (LWIR), to classify the defects using a feature descriptor learning approach together with a support vector machine classifier. Two descriptors were evaluated, Extended Local Binary Patterns (E-LBP) and SURF using a Bag of Words (BoW) representation. The evaluation was carried on with an image set obtained during this work, which contained five different defect categories that currently occurs in the industry. Results show that using images from beyond
the visual spectrum helps to improve classification performance in contrast with a single visible spectrum solution. |
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no |
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gtsi @ user @ |
Serial |
89 |
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