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Jorge L. Charco, A. D. S., Boris X. Vintimilla. (2022). Human Pose Estimation through A Novel Multi-View Scheme. In In accepted in 17th International Conference on Computer Vision Theory and Applications VISAPP 2022.
Abstract: This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human
pose estimation problem. The proposed approach first obtains the human body joints of a set of images,
which are captured from different views at the same time. Then, it enhances the obtained joints by using a
multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from
another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed
for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and
comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements
in the accuracy of body joints estimations.
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Rafael E. Rivadeneira, A. D. S. and B. X. V. (2022). Multi-Image Super-Resolution for Thermal Images. In In accepted in 17th International Conference on Computer Vision Theory and Applications VISAPP 2022.
Abstract: This paper proposes a novel CNN architecture for the multi-thermal image super-resolution problem. In the
proposed scheme, the multi-images are synthetically generated by downsampling and slightly shifting the
given image; noise is also added to each of these synthesized images. The proposed architecture uses two
attention blocks paths to extract high-frequency details taking advantage of the large information extracted
from multiple images of the same scene. Experimental results are provided, showing the proposed scheme has
overcome the state-of-the-art approaches.
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Pereira J., M. M. & W. A. (2021). Qualitative Model to Maximize Shrimp Growth at Low Cost. 5th Ecuador Technical Chapters Meeting (ETCM 2021), Octubre 12 – 15, .
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Michael Teutsch, A. S. & R. H. (2021). Computer Vision in the Infrared Spectrum: Challenges and ApproachesComputer Vision in the Infrared Spectrum: Challenges and Approaches. Synthesis Lectures on Computer Vision. Volumen 10, No. 2 Pages 138, .
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Ronald Velez Burgos, A. P. R., Steven Silva Mendoza, Dennys Paillacho Chiluiza, Jonathan Paillacho Corredores. (2021). Implementation of a UVC lights disinfection system for a differential robot applying security methods in indoor. In Accepted in International Conference on Applied Technologies (ICAT 2021).
Abstract: Implementing methods that allow trajectory tracing for an
autonomous robotic system is a topic that covers several fields of study
since different parameters must be taken into account to locate obstacles
to ensure proper navigation in environments where there is a moderate
traffic of people. For this purpose, different methods of trajectory tracing
will be implemented, which take as a reference the distance at which peo-
ple are located. In addition, there are added human image recognition for
avoid exposing people to UVC light. As a result, it can be observed that
the methods implemented for the trajectory tracing give quite acceptable
”pathing” results, since the main criterion to determine the efficiency is
the SII, and thanks to the T265 and D435i sensors, it was possible to
determine the presence of people in terms of image processing.
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