Voxar Labs
Resumo
Voxar Labs is a research group focused in augmenting experiences through research, innovation and collaboration with academia and industry. It develops cutting-edge multi-disciplinary research in the large area of Spatial Computing, tackling the inner areas of Extended Reality, Computer Vision and Natural Interaction. The laboratory aims to create impact through R&D&I, technology transfer, scientific publications, patents and human-resources formation. It is one of the most productive Augmented Reality research groups in the Latin America, also being recognized with seven best papers and ten first-place competitions’ prizes over the nine years of its existence. Voxar Labs is part of the Informatics Center of the Federal University of Pernambuco, located in Recife – Pernambuco, Brazil.
Palavras-chave:
extended reality, augmented reality, spatial computing, computer vision, natural interaction.
Referências
Voxar Labs. https://www.cin.ufpe.br/voxarlabs. Accessed on 8/10/2020.
Porto Digital. https://www.portodigital.org/. Accessed on 8/10/2020.
QS Latin American University Rankings 2020. https://www.topuniversities.com/university-rankings/latinamerican-university-rankings/2020. Accessed on 8/10/2020.
Voxar Labs youTube channel. https://www.youtube.com/user/voxarlabs.
Roberto, R.; Lima, J. P.; Araújo, T.; Teichrieb, V. (2016) Evaluation of motion tracking and depth sensing accuracy of the tango tablet. In: Proc. 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMARAdjunct), p. 231-234. IEEE. DOI: 10.1109/ismaradjunct. 2016.0082
Lima, J. P., Uchiyama, H., Teichrieb, V., & Marchand, E. (2012) Texture-less planar object detection and pose estimation using depth-assisted rectification of contours. In: Proc. 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), p. 297-298. IEEE. DOI: 10.1109/ISMAR.2012.6402582
Olivier, N.; Uchiyama, H.; Mishima, M.; Thomas, D.; Taniguchi, R. I.; Roberto, R. et al. (2018) Live structural modeling using RGB-D SLAM. In: Proc. 2018 IEEE International Conference on Robotics and Automation (ICRA), p. 6352-6358. IEEE. DOI: 10.1109/ICRA.2018.8460973
Roberto, R; Lima, J. P.; Uchiyama, H.; Teichrieb, V.; Taniguchi, R. I. (2019) Geometrical and statistical incremental semantic modeling on mobile devices. Computers & Graphics 84: 199-211. DOI: 10.1016/j.cag.2019.09.003
Roberto, R.; Lima, J. P.; Teichrieb, V. (2016) Tracking for mobile devices: A systematic mapping study. Computers & Graphics 56: 20-30. DOI: 10.1016/j.cag.2016.02.002
Felix, H.; Rodrigues, W.; Macedo, D.; Simoes, F.; Oliveira, A.; Teichrieb, V.; Zanchettin, C. (2020) Squeezed Deep 6dof Object Detection Using Knowledge Distillation. In: Proc. 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow. ArXiv:2003.13586
Mishima, M.; Uchiyama, H.; Thomas, D.; Taniguchi, R. I., Roberto; R., Lima, J. P.; Teichrieb, V. (2019) Incremental 3D Cuboid Modeling with Drift Compensation. Sensors 19(1): 178. DOI: 10.3390/s19010178
Cavalcanti, V. C.; de Santana Ferreira, M. I.; Teichrieb, V.; Barioni, R. R.; Correia, W. F. M.; Da Gama, A. E. F. (2019) Usability and effects of text, image and audio feedback on exercise correction during augmented reality based motor rehabilitation. Computers & Graphics 85: 100-110. DOI: 10.1016/j.cag.2019.10.001
Da Gama, A.; Chaves, T.; Figueiredo, L.; Teichrieb, V. (2012) Improving motor rehabilitation process through a natural interaction based system using kinect sensor. In: Proc. 2012 IEEE Symposium on 3D User Interfaces (3DUI), p. 145-146). IEEE. DOI: 10.1109/3DUI.2012.6184203
Where in the World is AR Research Happening? https://medium.com/@marknb00/where-in-the-world-isar-vr-research-happening-ddebbdc6436b. Accessed on 8/10/2020.
ISMAR 2020. http://ismar20.org/. Accessed on 8/10/2020.
SVR 2020. https://svr2020.cin.ufpe.br/. Accessed on 8/10/2020.
SIBGRAPI 2020. https://sibgrapi2020.cin.ufpe.br/. Accessed on 8/10/2020.
SBGAMES 2020. https://sbgames2020.cin.ufpe.br/. Accessed on 8/10/2020.
Porto Digital. https://www.portodigital.org/. Accessed on 8/10/2020.
QS Latin American University Rankings 2020. https://www.topuniversities.com/university-rankings/latinamerican-university-rankings/2020. Accessed on 8/10/2020.
Voxar Labs youTube channel. https://www.youtube.com/user/voxarlabs.
Roberto, R.; Lima, J. P.; Araújo, T.; Teichrieb, V. (2016) Evaluation of motion tracking and depth sensing accuracy of the tango tablet. In: Proc. 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMARAdjunct), p. 231-234. IEEE. DOI: 10.1109/ismaradjunct. 2016.0082
Lima, J. P., Uchiyama, H., Teichrieb, V., & Marchand, E. (2012) Texture-less planar object detection and pose estimation using depth-assisted rectification of contours. In: Proc. 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), p. 297-298. IEEE. DOI: 10.1109/ISMAR.2012.6402582
Olivier, N.; Uchiyama, H.; Mishima, M.; Thomas, D.; Taniguchi, R. I.; Roberto, R. et al. (2018) Live structural modeling using RGB-D SLAM. In: Proc. 2018 IEEE International Conference on Robotics and Automation (ICRA), p. 6352-6358. IEEE. DOI: 10.1109/ICRA.2018.8460973
Roberto, R; Lima, J. P.; Uchiyama, H.; Teichrieb, V.; Taniguchi, R. I. (2019) Geometrical and statistical incremental semantic modeling on mobile devices. Computers & Graphics 84: 199-211. DOI: 10.1016/j.cag.2019.09.003
Roberto, R.; Lima, J. P.; Teichrieb, V. (2016) Tracking for mobile devices: A systematic mapping study. Computers & Graphics 56: 20-30. DOI: 10.1016/j.cag.2016.02.002
Felix, H.; Rodrigues, W.; Macedo, D.; Simoes, F.; Oliveira, A.; Teichrieb, V.; Zanchettin, C. (2020) Squeezed Deep 6dof Object Detection Using Knowledge Distillation. In: Proc. 2020 International Joint Conference on Neural Networks (IJCNN). Glasgow. ArXiv:2003.13586
Mishima, M.; Uchiyama, H.; Thomas, D.; Taniguchi, R. I., Roberto; R., Lima, J. P.; Teichrieb, V. (2019) Incremental 3D Cuboid Modeling with Drift Compensation. Sensors 19(1): 178. DOI: 10.3390/s19010178
Cavalcanti, V. C.; de Santana Ferreira, M. I.; Teichrieb, V.; Barioni, R. R.; Correia, W. F. M.; Da Gama, A. E. F. (2019) Usability and effects of text, image and audio feedback on exercise correction during augmented reality based motor rehabilitation. Computers & Graphics 85: 100-110. DOI: 10.1016/j.cag.2019.10.001
Da Gama, A.; Chaves, T.; Figueiredo, L.; Teichrieb, V. (2012) Improving motor rehabilitation process through a natural interaction based system using kinect sensor. In: Proc. 2012 IEEE Symposium on 3D User Interfaces (3DUI), p. 145-146). IEEE. DOI: 10.1109/3DUI.2012.6184203
Where in the World is AR Research Happening? https://medium.com/@marknb00/where-in-the-world-isar-vr-research-happening-ddebbdc6436b. Accessed on 8/10/2020.
ISMAR 2020. http://ismar20.org/. Accessed on 8/10/2020.
SVR 2020. https://svr2020.cin.ufpe.br/. Accessed on 8/10/2020.
SIBGRAPI 2020. https://sibgrapi2020.cin.ufpe.br/. Accessed on 8/10/2020.
SBGAMES 2020. https://sbgames2020.cin.ufpe.br/. Accessed on 8/10/2020.
Publicado
07/11/2020
Como Citar
TEICHRIEB, Veronica et al.
Voxar Labs. In: LABS PRESENTATION - SIMPÓSIO DE REALIDADE VIRTUAL E AUMENTADA (SVR), 22. , 2020, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 111-114.
DOI: https://doi.org/10.5753/svr_estendido.2020.12974.
