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Received the integrated Master’s Degree in Computer and Telematics Engineering from the University of Aveiro in 2019. Since then, he has worked as a researcher with the Institute of Electronics and Informatics Engineering of Aveiro (IEETA). He is currently a PhD student under the supervision of Prof. Paulo Dias and Prof. Miguel Oliveira. His research interests include 3D reconstruction, virtual and augmented reality, visual quality assessment, human-computer interaction, concurrent systems, and artificial intelligence.
Identification

Personal identification

Full name
Tiago de Matos Ferreira Madeira

Citation names

  • Madeira, Tiago

Author identifiers

Ciência ID
D915-8608-D47C
ORCID iD
0000-0003-1335-0803
Researcher Id
AAK-8446-2020
Scopus Author Id
57215575756

Email addresses

  • tiagomfmadeira@gmail.com (Professional)
  • tiagomadeira@ua.pt (Professional)

Addresses

  • Campus Universitário de Santiago, 3810-193, Aveiro, Aveiro, Portugal (Professional)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics
Education
Degree Classification
2020/10/01 - 2024/09
Ongoing
 Programa Doutoral em Engenharia Informática (Doutoramento)
Universidade de Aveiro, Portugal
2014/09 - 2019/07
Concluded
 Engenharia de Computadores e Telemática (Mestrado integrado)
Universidade de Aveiro Departamento de Electrónica Telecomunicações e Informática, Portugal
"Enhancement of RGB-D Image Alignment Using Fiducial Markers" (THESIS/DISSERTATION)
 15
Affiliation

Science

Category
Host institution 		Employer
2019/11 - Current Researcher (Research) Universidade de Aveiro, Portugal
Universidade de Aveiro Instituto de Engenharia Eletrónica e Informática de Aveiro, Portugal
Projects

Grant

Designation Funders
2020/10 - 2024/09 Joint Optimization of Geometry and Appearance for 3D Reconstructions Using RGB-D Data
2020.07345.BD
 Fundação para a Ciência e a Tecnologia
Outputs

Publications

Conference paper
  1. Madeira, T.; Oliveira, M.; Dias, P.. "Meshtrics: Objective Quality Assessment of Textured 3D Meshes for 3D Reconstruction". 2024.
    10.2312/stag.20241351
  2. Neves, M.; Marques, B.; Madeira, T.; Dias, P.; Santos, B.S.. "Using 3D Reconstruction to create Pervasive Augmented Reality Experiences: A comparison". 2022.
    10.1109/VRW55335.2022.00207
  3. Madeira, T.; Marques, B.; Alves, J.; Dias, P.; Santos, B.S.; Madeira, Tiago; Marques, Bernardo; et al. "Exploring Annotations and Hand Tracking in Augmented Reality for Remote Collaboration". Paper presented in 3rd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED2020), 2021.
    10.1007/978-3-030-58282-1_14
  4. Oliveira, Miguel Armando Riem de; Castro, Afonso; Madeira, Tiago; Dias, Paulo; Santos, Vitor. "A General Approach to the Extrinsic Calibration of Intelligent Vehicles Using ROS". Paper presented in ROBOT'2019: Fourth Iberian Robotics Conference, Porto, 2019.
    10.1007/978-3-030-35990-4_17
  5. Duarte, Diogo; Madeira, Tiago. "WebGL simulation tool for Micromouse contest". Paper presented in MicroMouse Symposium 2019, Gondomar, 2019.
Journal article
  1. Tiago Madeira; Miguel Oliveira; Paulo Dias. "Reflection-aware 3D mirror segmentation and pose estimation". The Visual Computer (2024): https://doi.org/10.1007/s00371-024-03704-9.
    10.1007/s00371-024-03704-9
  2. Tiago Madeira; Miguel Oliveira; Paulo Dias. "Neural Colour Correction for Indoor 3D Reconstruction Using RGB-D Data". Sensors (2024): https://doi.org/10.3390/s24134141.
    10.3390/s24134141
  3. Lucas Dal’Col; Daniel Coelho; Tiago Madeira; Paulo Dias; Miguel Oliveira. "A Sequential Color Correction Approach for Texture Mapping of 3D Meshes". Sensors (2023): https://doi.org/10.3390/s23020607.
    10.3390/s23020607
  4. Tiago Madeira; Bernardo Marques; Pedro Neves; Paulo Dias; Beatriz Sousa Santos. "Comparing Desktop vs. Mobile Interaction for the Creation of Pervasive Augmented Reality Experiences". Journal of Imaging (2022): https://www.mdpi.com/2313-433X/8/3/79.
    10.3390/jimaging8030079
  5. Daniel Coelho; Lucas Dal’Col; Tiago Madeira; Paulo Dias; Miguel Oliveira. "A Robust 3D-Based Color Correction Approach for Texture Mapping Applications". Sensors (2022): https://doi.org/10.3390/s22051730.
    10.3390/s22051730
  6. Miguel Oliveira; Gi-Hyun Lim; Tiago Madeira; Paulo Dias; Vítor Santos. "Robust Texture Mapping Using RGB-D Cameras". Sensors 21 9 (2021): 3248-3248. https://doi.org/10.3390/s21093248.
    10.3390/s21093248
  7. Madeira, Tiago; Oliveira, Miguel Armando Riem de; Dias, Paulo. "Enhancement of RGB-D Image Alignment Using Fiducial Markers". Sensors 20 5 (2020): 1497.
    10.3390/s20051497
  8. Lourenço, Bernardo; Madeira, Tiago; Dias, Paulo; Santos, Vitor; Oliveira, Miguel Armando Riem de; Lourenço, B.; Madeira, T.; et al. "2D Lidar to Kinematic Chain Calibration Using Planar Features of Indoor Scenes". Industrial Robot 47 5 (2020): 647-655. http://www.scopus.com/inward/record.url?eid=2-s2.0-85085949613&partnerID=MN8TOARS.
    Accepted • 10.1108/IR-09-2019-0201
  9. Oliveira, M.; Castro, A.; Madeira, T.; Pedrosa, E.; Dias, P.; Santos, V.; Oliveira, Miguel Armando Riem de; et al. "A ROS framework for the extrinsic calibration of intelligent vehicles: A multi-sensor, multi-modal approach". Robotics and Autonomous Systems 131 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85085374137&partnerID=MN8TOARS.
    Accepted • 10.1016/j.robot.2020.103558
Activities

Oral presentation

Presentation title Event name
Host (Event location)
2017/06 Muscle: [your workout digitalized] (Projeto em Engenharia Informática, 3º ano, MIECT.) students@deti
Universidade de Aveiro Departamento de Electrónica Telecomunicações e Informática (Aveiro, Portugal)

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2019/02/21 - 2019/02/28 Crash course of ROS at LARDEMUA, Universidade de Aveiro.
Workshop
 ROS WORKSHOP 2019
Universidade de Aveiro Departamento de Engenharia Mecânica, Portugal