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Author
Jorge L. Charco, Angel D. Sappa, Boris X. Vintimilla, Henry O. Velesaca.
Title
Human Body Pose Estimation in Multi-view Environments.
Type
Book Chapter
Year
2022
Publication
ICT Applications for Smart Cities Part of the Intelligent Systems Reference Library book series
Abbreviated Journal
BOOK
Volume
224
Issue
Pages
79-99
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
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
197
Permanent link to this record
Author
Sianna Puente
;
Cindy Madrid
;
Miguel Realpe
;
Boris X. Vintimilla
Title
An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System
Type
Conference Article
Year
2017
Publication
2017 International Conference on Deep Learning Technologies (ICDLT 2017)
Abbreviated Journal
Volume
Part F128535
Issue
Pages
60-65
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
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
56
Permanent link to this record
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
Volume
Vol. 86
Issue
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.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Enlgish
Summary Language
English
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
cidis @ cidis @
Serial
54
Permanent link to this record
Author
Milton Mendieta
;
F. Panchana
;
B. Andrade
;
B. Bayot
;
C. Vaca
;
Boris X. Vintimilla
;
Dennis G. Romero
Title
Organ identification on shrimp histological images: A comparative study considering CNN and feature engineering.
Type
Conference Article
Year
2018
Publication
IEEE Ecuador Technical Chapters Meeting ETCM 2018. Cuenca, Ecuador
Abbreviated Journal
Volume
Issue
Pages
1-6
Keywords
Abstract
The identification of shrimp organs in biology using
histological images is a complex task. Shrimp histological images
poses a big challenge due to their texture and similarity among
classes. Image classification by using feature engineering and
convolutional neural networks (CNN) are suitable methods to
assist biologists when performing organ detection. This work
evaluates the Bag-of-Visual-Words (BOVW) and Pyramid-Bagof-
Words (PBOW) models for image classification leveraging big
data techniques; and transfer learning for the same classification
task by using a pre-trained CNN. A comparative analysis
of these two different techniques is performed, highlighting
the characteristics of both approaches on the shrimp organs
identification problem.
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
87
Permanent link to this record
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