Mario Ortega

@upv.es

Instituto de Investigación e Innovación en Bioingeniería (i3b)
Research coordinator CVAR

Mario Ortega


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15

Scopus Publications

1488

Scholar Citations

13

Scholar h-index

15

Scholar i10-index

Scopus Publications

  • Holorailway: an augmented reality system to support assembly operations in the railway industry
    Clara Garcia, Mario Ortega, Eugenio Ivorra, Manuel Contero, Pau Mora, Mariano L. Alcañiz
    Advances in Manufacturing, 2024
    During the last two decades, industrial applications of augmented reality (AR) have been incorporated in sectors such as automotive or aeronautics in tasks including manufacturing, maintenance, and assembly. However, AR’s potential has yet to be demonstrated in the railway sector due to its complexity and difficulties in automating tasks. This work aims to present an AR system based on HoloLens 2 to assist the assembly process of insulation panels in the railway sector significantly decreasing the time required to perform the assembly. Along with the technical description of the system, an exhaustive validation process is provided where the assembly using the developed system is compared to the traditional assembly method as used by a company that has facilitated a case study. The results obtained show that the system presented outperforms the traditional solution by 78% in the time spent in the localization subtask, which means a 47% decrease in the global assembly time. Additionally, it decreases the number of errors in 88% of the cases, obtaining a more precise and almost error-free assembly process. Finally, it is also proven that using AR removes the dependence on users’ prior knowledge of the system to facilitate assembly.
  • Virtual Experience Toolkit: An End-to-End Automated 3D Scene Virtualization Framework Implementing Computer Vision Techniques
    Pau Mora, Clara Garcia, Eugenio Ivorra, Mario Ortega, Mariano L. Alcañiz
    Sensors, 2024
    Virtualization plays a critical role in enriching the user experience in Virtual Reality (VR) by offering heightened realism, increased immersion, safer navigation, and newly achievable levels of interaction and personalization, specifically in indoor environments. Traditionally, the creation of virtual content has fallen under one of two broad categories: manual methods crafted by graphic designers, which are labor-intensive and sometimes lack precision; traditional Computer Vision (CV) and Deep Learning (DL) frameworks that frequently result in semi-automatic and complex solutions, lacking a unified framework for both 3D reconstruction and scene understanding, often missing a fully interactive representation of the objects and neglecting their appearance. To address these diverse challenges and limitations, we introduce the Virtual Experience Toolkit (VET), an automated and user-friendly framework that utilizes DL and advanced CV techniques to efficiently and accurately virtualize real-world indoor scenarios. The key features of VET are the use of ScanNotate, a retrieval and alignment tool that enhances the precision and efficiency of its precursor, supported by upgrades such as a preprocessing step to make it fully automatic and a preselection of a reduced list of CAD to speed up the process, and the implementation in a user-friendly and fully automatic Unity3D application that guides the users through the whole pipeline and concludes in a fully interactive and customizable 3D scene. The efficacy of VET is demonstrated using a diversified dataset of virtualized 3D indoor scenarios, supplementing the ScanNet dataset.
  • Virtual Experience Toolkit: Enhancing 3D Scene Virtualization From Real Environments Through Computer Vision and Deep Learning Techniques
    Clara Garcia, Pau Mora, Mario Ortega, Eugenio Ivorra, Gaetano Valenza, Mariano L. Alcañiz
    2023 IEEE International Conference on Metrology for Extended Reality Artificial Intelligence and Neural Engineering Metroxraine 2023 Proceedings, 2023
    Over the past few decades, Virtual Reality (VR) has emerged as a popular topic in a wide range of fields, such as information technology and psychology, among others. One reason for its importance was due to the ability to virtualize real-world scenes. This process typically involves capturing data from those scenes to generate accurate, detailed, and immersive 3D models. However, the creation of virtual content from real-world scenes has traditionally relied on manual techniques, as well as photogrammetry or Computer Vision (CV) algorithms. This frequently yields time-intensive, less accurate, intricate, and semi-automatic results. To tackle these limitations, a novel framework called Virtual Experience Toolkit (VET) has been proposed. It employs CV and Deep Learning (DL) techniques to swiftly and seamlessly virtualize any 3D scenario from real indoor environments. To demonstrate the effectiveness of VET, a diverse dataset of virtualized 3D scenes was generated, supplementing the information from the ScanNet dataset. VET has the potential to significantly enhance the virtualization of 3D indoor scenarios from real scenes, making the process easier, more precise, unified, consistent, automated, and effective for a broad spectrum of VR applications.
  • Towards the Automation of Infrared Thermography Inspections for Industrial Maintenance Applications
    Pablo Venegas, Eugenio Ivorra, Mario Ortega, Idurre Sáez de Ocáriz
    Sensors, 2022
    The maintenance of industrial equipment extends its useful life, improves its efficiency, reduces the number of failures, and increases the safety of its use. This study proposes a methodology to develop a predictive maintenance tool based on infrared thermographic measures capable of anticipating failures in industrial equipment. The thermal response of selected equipment in normal operation and in controlled induced anomalous operation was analyzed. The characterization of these situations enabled the development of a machine learning system capable of predicting malfunctions. Different options within the available conventional machine learning techniques were analyzed, assessed, and finally selected for electronic equipment maintenance activities. This study provides advances towards the robust application of machine learning combined with infrared thermography and augmented reality for maintenance applications of industrial equipment. The predictive maintenance system finally selected enables automatic quick hand-held thermal inspections using 3D object detection and a pose estimation algorithm, making predictions with an accuracy of 94% at an inference time of 0.006 s.
  • Azure kinect body tracking under review for the specific case of upper limb exercises
    EUGENIO IVORRA, , MARIO ORTEGA, MARIANO ALCANIZ
    Mm Science Journal, 2021
    A tool for human pose estimation and quantification using consumer-level equipment is a long-pursued objective. Many studies have employed the Microsoft Kinect v2 depth camera but with recent release of the new Kinect Azure a revision is required. This work researches the specific case of estimating the range of motion in five upper limb exercises using four different pose estimation methods. These exercises were recorded with the Kinect Azure camera and assessed with the OptiTrack motion tracking system as baseline. The statistical analysis consisted of evaluation of intra-rater reliability with intra-class correlation, the Pearson correlation coefficient and Bland–Altman statistical procedure. The modified version of the OpenPose algorithm with the post-processing algorithm PoseFix had excellent reliability with most intra-class correlations being over 0.75. The Azure body tracking algorithm had intermediate results. The results obtained justify clinicians employing these methods, as quick and low-cost simple tools, to assess upper limb angles.
  • Mantra: An effective system based on augmented reality and infrared thermography for industrial maintenance
    Mario Ortega, Eugenio Ivorra, Alejandro Juan, Pablo Venegas, Jorge Martínez, Mariano Alcañiz
    Applied Sciences Switzerland, 2021
    In recent years, the benefits of both Augmented Reality (AR) technology and infrared thermography (IRT) have been demonstrated in the industrial maintenance sector, allowing maintenance operations to be carried out in a safer, faster, and more efficient manner. However, there still exists no solution that optimally combines both technologies. In this work, we propose a new AR system—MANTRA—with specific application to industrial maintenance. The system can automatically align virtual information and temperature on any 3D object, in real time. This is achieved through the joint use of an RGB-D sensor and an IRT camera, leading to high accuracy and robustness. To achieve this objective, a pose estimation method that combines a deep-learning-based object detection method, YOLOV4, together with the template-based LINEMOD pose estimation method, as well as a model-based 6DOF pose tracking technique, was developed. The MANTRA system is validated both quantitatively and qualitatively through a real use-case, demonstrating the effectiveness of the system compared to traditional methods and those using only AR.
  • Multimodal Computer Vision Framework for Human Assistive Robotics
    Eugenio Ivorra, Mario Ortega, Mariano Alcaniz, Nicolas Garcia-Aracil
    2018 Workshop on Metrology for Industry 4 0 and Iot Metroind 4 0 and Iot 2018 Proceedings, 2018
    This paper presents a multimodal computer vision framework for human assistive robotics with the purpose of giving accessibility to persons with disabilities. The user is capable of interacting with the system just by staring. Specifically, it is possible to select the desired object as well as to indicate the intention to grasp it just by staring at it. This gaze information is provided by ©Tobii Glasses 2 that in combination with a deep learning algorithm gives the class id of the desirable object. Later, the object's pose is estimated using a RGB-D camera with a new developed technique. This technique mixes a template based algorithm with a deep learning algorithm giving a precise, realtime method for pose estimation. Once the pose is obtained, it is transformed to a grasping position in the coordinate system of the assistive robot that performs the grasping operation.
  • Intelligent multimodal framework for human assistive robotics based on computer vision algorithms
    Eugenio Ivorra, Mario Ortega, José Catalán, Santiago Ezquerro, Luis Lledó, Nicolás Garcia-Aracil, Mariano Alcañiz
    Sensors Switzerland, 2018
    Assistive technologies help all persons with disabilities to improve their accessibility in all aspects of their life. The AIDE European project contributes to the improvement of current assistive technologies by developing and testing a modular and adaptive multimodal interface customizable to the individual needs of people with disabilities. This paper describes the computer vision algorithms part of the multimodal interface developed inside the AIDE European project. The main contribution of this computer vision part is the integration with the robotic system and with the other sensory systems (electrooculography (EOG) and electroencephalography (EEG)). The technical achievements solved herein are the algorithm for the selection of objects using the gaze, and especially the state-of-the-art algorithm for the efficient detection and pose estimation of textureless objects. These algorithms were tested in real conditions, and were thoroughly evaluated both qualitatively and quantitatively. The experimental results of the object selection algorithm were excellent (object selection over 90%) in less than 12 s. The detection and pose estimation algorithms evaluated using the LINEMOD database were similar to the state-of-the-art method, and were the most computationally efficient.
  • Manipulating virtual objects with your hands: A case study on applying desktop Augmented Reality at the primary school
    Gustavo Salvador-Herranz, David Perez-Lopez, Mario Ortega, Emilio Soto, Mariano Alcaniz, Manuel Contero
    Proceedings of the Annual Hawaii International Conference on System Sciences, 2013
    Augmented Reality (AR) offers many opportunities as an interactive tool to improve learning and teaching processes. This paper presents a pilot study conducted on third graders where a series of AR contents about Natural and Social Sciences have been used as a teaching tool. The main objective of the application is to help the students to learn complex concepts that present a difficult understanding. A user centered approach was followed to create the AR contents, where several teachers collaborated on its definition. The AR application combines 3D models and animations, mini games and quizzes. An evaluation of the educational contents was made from the point of view efficiency (academic achievement), usability and motivation. Results confirm that the use of desktop AR has had a positive impact on the learning and teaching process and reinforce the vision of AR as an affordable and feasible technological tool to support the students' learning activities.
  • The therapeutic lamp: Treating small-animal phobias
    M. Wrzesien, M. Alcaiz, C. Botella, J-M Burkhardt, J. Breton-Lopez, M. Ortega, D. B. Brotons
    IEEE Computer Graphics and Applications, 2013
    We all have an irrational fear or two. Some of us get scared by an unexpected visit from a spider in our house; others get nervous when they look down from a high building. Fear is an evolutionary and adaptive function that can promote self-preservation and help us deal with the feared object or situation. However, when this state becomes excessive, it might develop into psychological disorders such as phobias, producing high anxiety and affecting everyday life. The Therapeutic Lamp is an interactive projection-based augmented-reality system for treating small-animal phobias. It aims to increase patient-therapist communication, promote more natural interaction, and improve the patient's engagement in the therapy.
  • Tabletops for collaborative learning: A case study on geometry learning at the primary school
    Connecting Computer Supported Collaborative Learning to Policy and Practice Cscl 2011 Conf Proc Short Papers and Posters 9th International Computer Supported Collaborative Learning Conf, 2011
  • Augmented reality system for keyhole surgery: Performance and accuracy validation
    Grapp 2011 Proceedings of the International Conference on Computer Graphics Theory and Applications, 2011
  • Design and validation of an augmented book for spatial abilities development in engineering students
    Jorge Martín-Gutiérrez, José Luís Saorín, Manuel Contero, Mariano Alcañiz, David C. Pérez-López, Mario Ortega
    Computers and Graphics Pergamon, 2010
  • Deformable brain atlas. Validation of the location of subthalamic nucleus using T1-weighted MR images of patients operated on for Parkinson's
    M. Ortega, M.C. Juan, M. Alcañiz, J.A. Gil, C. Monserrat
    Computerized Medical Imaging and Graphics, 2008
  • Ultrasound based intraoperative brain shift correction
    J. Gonzalez, D. Sosa-Cabrera, M. Ortega, J. A. Gil, A. Tristan, E. Munoz-Moreno, R. de Luis-Garcia, R. Cardenes
    Proceedings IEEE Ultrasonics Symposium, 2007

RECENT SCHOLAR PUBLICATIONS

  • Holorailway: an augmented reality system to support assembly operations in the railway industry
    C Garcia, M Ortega, E Ivorra, M Contero, P Mora, ML Alcañiz
    Advances in Manufacturing 12 (4), 764-783 , 2024
    2024
    Citations: 19
  • Virtual experience toolkit: an end-to-end automated 3D scene virtualization framework implementing computer vision techniques
    P Mora, C Garcia, E Ivorra, M Ortega, ML Alcañiz
    Sensors 24 (12), 3837 , 2024
    2024
    Citations: 4
  • Virtual Experience Toolkit: An End-to-End Automated 3D Scene Virtualization Framework Implementing Computer Vision Techniques
    P Mora García, C García-Moll, E Ivorra Martínez, M Ortega Pérez, ...
    MDPI AG , 2024
    2024
  • Virtual Experience Toolkit: Enhancing 3D Scene Virtualization from Real Environments through Computer Vision and Deep Learning Techniques
    C García-Moll, Pau, M Ortega Pérez, E Ivorra, G Valenza, ...
    Conference on Metrology for eXtended Reality, Artificial Intelligence and … , 2023
    2023
    Citations: 6
  • Dealing with weighting scheme in composite indicators: An unsupervised distance-machine learning proposal for quantitative data
    E Jiménez-Fernández, A Sánchez, M Ortega-Pérez
    Socio-Economic Planning Sciences 83, 101339 , 2022
    2022
    Citations: 34
  • Towards the automation of infrared thermography inspections for industrial maintenance applications
    P Venegas, E Ivorra, M Ortega, I Sáez de Ocáriz
    Sensors 22 (2), 613 , 2022
    2022
    Citations: 57
  • Azure kinect body tracking under review for the specific case of upper limb exercises
    E Ivorra, M Ortega, M Alcañiz
    MM Science Journal 2, 4333-4341 , 2021
    2021
    Citations: 13
  • Mantra: An effective system based on augmented reality and infrared thermography for industrial maintenance
    M Ortega, E Ivorra, A Juan, P Venegas, J Martínez, M Alcañiz
    Applied Sciences 11 (1), 385 , 2021
    2021
    Citations: 54
  • Azure Kinect body tracking under review for the specific case of upper limb exercises
    E Ivorra Martínez, M Ortega Pérez, ML Alcañiz Raya
    MM Publishing , 2021
    2021
  • Development of thermographic module for predictive maintenance system of industrial equipment
    P Venegas, E Ivorra, M Ortega, G Márquez, J Martínez, IS de Ocáriz
    15th Quantitative InfraRed Thermography , 2020
    2020
    Citations: 3
  • Intelligent multimodal framework for human assistive robotics based on computer vision algorithms
    E Ivorra, M Ortega, JM Catalán, S Ezquerro, LD Lledó, N Garcia-Aracil, ...
    Sensors 18 (8), 2408 , 2018
    2018
    Citations: 20
  • Multimodal computer vision framework for human assistive robotics
    E Ivorra, M Ortega, M Alcañiz, N Garcia-Aracil
    2018 Workshop on Metrology for Industry 4.0 and IoT, 1-5 , 2018
    2018
    Citations: 16
  • Educación y salud. La realidad virtual como agente
    M Ortega, I Ortega, A Ortega
    Trances: Transmisión del conocimiento educativo y de la salud 10 (1), 439-458 , 2018
    2018
    Citations: 3
  • 3D object detection and pose estimation
    MO Pérez, VN Ornedo, MA Raya
    Assistive and Rehabilitation Technologies (IWART2016), 26-27 , 2016
    2016
  • HumanTop : a multi-object tracking tabletop
    ES Candela, MO Pérez, CM Romero, DCP López, GS Herranz, M Contero, ...
    Multimedia tools and applications 70 (3), 1837-1868 , 2014
    2014
    Citations: 11
  • Marcadores híbridos para sistemas de realidad aumentada y método de identificación de dichos marcadores híbridos
    ML Alcañiz Raya, M Ortega Pérez, A Cozar Riera
    EP Patent ES2402458B1 , 2014
    2014
  • Tecnología Visual Search
    MO Pérez
    Comunicación y Pedagogía: nuevas tecnologías y recursos didácticos, 73-76 , 2014
    2014
    Citations: 1
  • Functional improvement of hemiparetic upper limb after a virtual reality-based intervention with a tabletop system and tangible objects
    R Lloréns, C Colomer, E Noé, M Ortega, M Alcañiz
    Proceedings of 10th International Conference on Disability, Virtual Reality … , 2014
    2014
    Citations: 2
  • Dispositivo de múltiple tacto por proyección de imágenes y datos sobre superficies
    M Ortega Pérez, V Abarca Fernández, J Alcalá Esterlich, ML Alcañiz Raya, ...
    WO Patent 2011/101518 A l , 2013
    2013
  • The therapeutic lamp: treating small-animal phobias
    M Wrzesien, M Alcañiz, C Botella, JM Burkhardt, J Bretón-López, ...
    IEEE computer graphics and applications 33 (1), 80-86 , 2013
    2013
    Citations: 62

MOST CITED SCHOLAR PUBLICATIONS

  • Design and validation of an augmented book for spatial abilities development in engineering students
    J Martín-Gutiérrez, JL Saorín, M Contero, M Alcañiz, DC Pérez-López, ...
    Computers & Graphics 34 (1), 77-91 , 2010
    2010
    Citations: 613
  • Radial basis functions with compact support for elastic registration of medical images
    M Fornefett, K Rohr, HS Stiehl
    Image and vision computing 19 (1-2), 87-96 , 2001
    2001
    Citations: 301
  • MobiAR: tourist experiences through mobile augmented reality
    D Marimon, C Sarasua, P Carrasco, R Álvarez, J Montesa, T Adamek, ...
    Telefonica Research and Development, Barcelona, Spain , 2010
    2010
    Citations: 95
  • Manipulating virtual objects with your hands: a case study on applying desktop augmented reality at the primary school
    G Salvador-Herranz, D Pérez-López, M Ortega, E Soto, M Alcañiz, ...
    2013 46th Hawaii International Conference on System Sciences, 31-39 , 2013
    2013
    Citations: 77
  • The therapeutic lamp: treating small-animal phobias
    M Wrzesien, M Alcañiz, C Botella, JM Burkhardt, J Bretón-López, ...
    IEEE computer graphics and applications 33 (1), 80-86 , 2013
    2013
    Citations: 62
  • Towards the automation of infrared thermography inspections for industrial maintenance applications
    P Venegas, E Ivorra, M Ortega, I Sáez de Ocáriz
    Sensors 22 (2), 613 , 2022
    2022
    Citations: 57
  • Mantra: An effective system based on augmented reality and infrared thermography for industrial maintenance
    M Ortega, E Ivorra, A Juan, P Venegas, J Martínez, M Alcañiz
    Applied Sciences 11 (1), 385 , 2021
    2021
    Citations: 54
  • Augmented reality technology for education
    M Alcañiz, DC Perez-Lopez, M Contero, M Ortega
    INTECH Open Access Publisher , 2010
    2010
    Citations: 47
  • Dealing with weighting scheme in composite indicators: An unsupervised distance-machine learning proposal for quantitative data
    E Jiménez-Fernández, A Sánchez, M Ortega-Pérez
    Socio-Economic Planning Sciences 83, 101339 , 2022
    2022
    Citations: 34
  • Intelligent multimodal framework for human assistive robotics based on computer vision algorithms
    E Ivorra, M Ortega, JM Catalán, S Ezquerro, LD Lledó, N Garcia-Aracil, ...
    Sensors 18 (8), 2408 , 2018
    2018
    Citations: 20
  • Holorailway: an augmented reality system to support assembly operations in the railway industry
    C Garcia, M Ortega, E Ivorra, M Contero, P Mora, ML Alcañiz
    Advances in Manufacturing 12 (4), 764-783 , 2024
    2024
    Citations: 19
  • Multimodal computer vision framework for human assistive robotics
    E Ivorra, M Ortega, M Alcañiz, N Garcia-Aracil
    2018 Workshop on Metrology for Industry 4.0 and IoT, 1-5 , 2018
    2018
    Citations: 16
  • Azure kinect body tracking under review for the specific case of upper limb exercises
    E Ivorra, M Ortega, M Alcañiz
    MM Science Journal 2, 4333-4341 , 2021
    2021
    Citations: 13
  • HumanTop : a multi-object tracking tabletop
    ES Candela, MO Pérez, CM Romero, DCP López, GS Herranz, M Contero, ...
    Multimedia tools and applications 70 (3), 1837-1868 , 2014
    2014
    Citations: 11
  • Evaluation of an augmented reality enhanced tabletop system as a collaborative learning tool: A case study on mathematics at the primary school
    G Salvador, D Pérez, M Ortega, E Soto, M Alcañiz, M Contero
    Proceedings of the 33rd Annual Conference of the European Association for … , 2012
    2012
    Citations: 10
  • Deformable brain atlas: Validation of the location of subthalamic nucleus using T1-weighted MR images of patients operated on for Parkinson’s
    M Ortega, MC Juan, M Alcañiz, JA Gil, C Monserrat
    Computerized Medical Imaging and Graphics 32 (5), 367-378 , 2008
    2008
    Citations: 9
  • Calefacción y refrescamiento por superficies radiantes
    M Ortega, A Ortega
    Madrid: Paraninfo, Thomson Learning , 2001
    2001
    Citations: 8
  • Augmented reality system for keyhole surgery-performance and accuracy validation
    JJ Fuertes, F López-Mir, V Naranjo, M Ortega, E Villanueva, M Alcañiz
    International Conference on Computer Graphics Theory and Applications 2, 273-279 , 2011
    2011
    Citations: 7
  • Virtual Experience Toolkit: Enhancing 3D Scene Virtualization from Real Environments through Computer Vision and Deep Learning Techniques
    C García-Moll, Pau, M Ortega Pérez, E Ivorra, G Valenza, ...
    Conference on Metrology for eXtended Reality, Artificial Intelligence and … , 2023
    2023
    Citations: 6
  • Estrategias de Formación en el siglo XXI
    M Ortega, I Ortega, P Quicios, C Quiroz, A Requejo
    Barcelona: Ariel , 2006
    2006
    Citations: 6