Computer Vision and Generative AI in XR

State of art technologies and solutions for Computer Vision and Mixed Reality applications.

Publications

2024

Pau Mora, Clara Garcia, Eugenio Ivorra, Mario Ortega and Mariano L. Alcañiz (2024). Virtual Experience Toolkit: An End-to-End Automated 3D Scene Virtualization Framework Implementing Computer Vision Techniques. Sensors, 24, pp. 3837.
Maria Eleonora Minissi, Alberto Altozano, Javier Marin-Morales, Alice Chicchi Giglioli, Fabrizia Mantovani, Mariano Alcañiz (2024). Biosignal comparison for autism assessment using machine learning models and virtual reality. Computers in Biology and Medicine.

2023

José M. Catalán, Emilio Trigili, Marius Nann, Andrea Blanco‑Ivorra, Clemente Lauretti, Francesca Cordella, Eugenio Ivorra, Elaine Armstrong, Simona Crea, Mariano Alcañiz, Loredana Zollo, Surjo R. Soekadar, Nicola Vitiello and Nicolás García‑Araci (2023). Hybrid brain/neural interface and autonomous vision-guided whole-arm exoskeleton control to perform activities of daily living (ADLs). , 20, pp. 1-16.
Garcia, C., Mora, P., Ortega, M., Ivorra, E., Valenza, G., & Alcañiz, M. L. (2023). Virtual Experience Toolkit: Enhancing 3D Scene Virtualization from Real Environments through Computer Vision and Deep Learning Techniques. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, 2023, pp. 694-699.
Jose Llanes-Jurado, Lucía A. Carrasco-Ribelles, Mariano Alcañiz, Emilio Soria-Olivas, Javier Marín-Morales (2023). Automatic Artifact Recognition and Correction for Electrodermal Activity based on LSTM-CNN models. Expert Systems with Applications, 230.

2022

Eduardo Jiménez-Fernández, Angeles Sánchez, Mario Ortega-Pérez c (2022). Dealing with weighting scheme in composite indicators: An unsupervised distance-machine learning proposal for quantitative data. Socio-Economic Planning Sciences, 83, pp. 101339.
Venegas, P., Ivorra, E., Ortega, M., & Sáez de Ocáriz, I. (2022). Towards the Automation of Infrared Thermography Inspections for Industrial Maintenance Applications. Sensors, 22, pp. 613.

2021

Ivorra, E.; Ortega, M.; Alcañiz, M. (2021). Azure Kinect body tracking under review for the specific case of upper limb exercises. MM Science Journal, pp. 4333-4341.
Ortega, M.; Ivorra, E.; Juan, A.; Venegas, P.; Martínez, J.; Alcañiz, M. (2021). MANTRA: An Effective System Based on Augmented Reality and Infrared Thermography for Industrial Maintenance. Applied Sciences, 11, pp. 385.

2020

P. Venegas; E. Ivorra; M.Ortega; G. Márquez; J. Martínez; I. Sáez de Ocáriz* . (2020). Development of thermographic module for predictive maintenance system of industrial equipment.. 15thQuantitative InfraRed Thermography Conference, pp. qirt.2020.073.

2018

Ivorra, E., Ortega, M., Catalán, J.M., Ezquerro, S., Lledó, L.D., Garcia-Aracil, N. and Alcañiz, M. (2018). Intelligent Multimodal Framework for Human Assistive Robotics Based on Computer Vision Algorithms. Sensors, 18, pp. 2408.
Ivorra, E., Ortega, M., Alcañiz, M. and Garcia-Aracil, N. (2018). Multimodal computer vision framework for human assistive robotics. In 2018 Workshop on Metrology for Industry 4.0 and IoT, pp. 1-5.

2017

Verdú, S., Vásquez, F., Ivorra, E., Sánchez, A.J., Barat, J.M. and Grau, R. (2017). Hyperspectral image control of the heat-treatment process of oat flour to model composite bread properties. Journal of Food Engineering, 192, pp. 45-52.
Ivorra, E., Sánchez, A.J., Camarasa, J.G., Diago, M.P. and Tardaguila, J. (2017). Corrigendum to “Assessment of grape cluster yield components based on 3D descriptors using stereo vision”[Food Control 50 (April 2015) 273–282]. Food Control, 100, pp. 271.

2016

Verdú, S., Ivorra, E., Sánchez, A.J., Barat, J.M. and Grau, R. (2016). Spectral study of heat treatment process of wheat flour by VIS/SW-NIR image system.. Journal of Cereal Science, 71, pp. 99-107.
Ivorra, E., Sánchez, A.J., Verdú, S., Barat, J.M. and Grau, R. (2016). Shelf life prediction of expired vacuum-packed chilled smoked salmon based on a KNN tissue segmentation method using hyperspectral images. Journal of Food Engineering, 178, pp. 110-116.
Ivorra, E., Verdu, S., Sánchez, A.J., Grau, R. and Barat, J.M. (2016). Predicting gilthead sea bream (sparus aurata) freshness by a novel combined technique of 3D imaging and SW-NIR spectral analysis. Sensors, 16, pp. 1735.
Verdú, S., Vásquez, F., Grau, R., Ivorra, E., Sánchez, A.J. and Barat, J.M. (2016). Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread. Food Control, 62, pp. 373-380.

2015

Verdú, S., Ivorra, E., Sánchez, A.J., Barat, J.M. and Grau, R. (2015). Relationship between fermentation behavior, measured with a 3D vision Structured Light technique, and the internal structure of bread. Journal of Food Engineering, 146, pp. 227-233.
Verdú, S., Ivorra, E., Sánchez, A.J., Barat, J.M. and Grau, R. (2015). Study of high strength wheat flours considering their physicochemical and rheological characterisation as well as fermentation capacity using SW-NIR imaging. Journal of Cereal Science, 62, pp. 31-37.
Martínez, E.I., Salmerón, A.J.S., Amat, S.V. and Melo, R.G. (2015). Estimación de la frescura de sparus aurata (dorada) mediante técnicas hiperespectrales en el rango del SW-NIR. .
Verdú, S., Vásquez, F., Ivorra, E., Sánchez, A.J., Barat, J.M. and Grau, R. (2015). Physicochemical effects of chia (Salvia hispanica) seed flour on each wheat bread-making process phase and product storage. Journal of Cereal Science, 65, pp. 67-73.
Ivorra, E., Sánchez, A.J., Camarasa, J.G., Diago, M.P. and Tardáguila, J. (2015). Assessment of grape cluster yield components based on 3D descriptors using stereo vision. Food Control, 50, pp. 273-282.

2014

Ivorra, E., Amat, S.V., Sánchez, A.J., Barat, J.M. and Grau, R. (2014). Continuous monitoring of bread dough fermentation using a 3D vision Structured Light technique. Journal of Food Engineering, 130, pp. 8-13.
Lloréns, R., Colomer, C., Noé, E., Ortega, M. and Alcañiz, M. (2014). Functional improvement of hemiparetic upper limb after a virtual reality-based intervention with a tabletop system and tangible objects. In Proceedings of 10th International Conference on Disability, Virtual Reality and Associated Technologies, pp. 99-107.
Giron, J., Ivorra, I., Fernández-Segovia, I., Barat, J.M. and Grau, R. (2014). Preliminary study using visible and SW-NIR analysis for evaluating the loss of freshness in commercially packaged cooked ham and Turkey ham. Czech Journal of Food Sciences, 32, pp. 376-383.
Toscano, C.A.M., Salmerón, A.J.S. and Martínez, E.I. (2014). Reconstrucción 3D de racimos de uva basada en estéreo-visión. .

2013

Salvador-Herranz, G., Perez-Lopez, D., Ortega, M., Soto, E., Alcaniz, M. and Contero, M. (2013). Manipulating virtual objects with your hands: A case study on applying desktop augmented reality at the primary school. 46th Hawaii International Conference on System Sciences, pp. 31-39.
Wrzesien, M., Alcañiz, M., Botella, C., Burkhardt, J.M., Bretón-López, J., Ortega, M. and Brotons, D.B. (2013). The therapeutic lamp: treating small-animal phobias. IEEE computer graphics and applications, 33, pp. 80-86.