The STL models could be used for computer vision applications such as instrument detection, segmentation, or tracking, as well as in medical mixed-reality simulation scenarios. To this end, the models can be integrated with game engines, such as Unity3D or Unreal Engine, to create mixed-...
Guo Y, Codella NC, Karlinsky L, Codella JV, Smith JR, Saenko K, Rosing T, Feris R. A broader study of cross-domain few-shot learning. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVII 16. Springer, 2020, pp. 124–...
Image processing and computer vision on mobile devices have a wide range of applications such as digital image enhancement and augmented reality. While ima
the Kitti vision benchmark suite. In: 2012 IEEE Conference on computer vision and pattern recognition, pp 3354–3361.https://doi.org/10.1109/CVPR.2012.6248074 Ghafoorian M, Nugteren C, Baka N, Booij O, Hofmann M (2018) El-gan: embedding loss driven generative adversarial networks for lane ...
Mukhopadhyay, A., Talwar, N.R., Viswakarma, H.et al.VR digital twin of office space with computer vision-based estimation of room occupancy and power consumption.Discov Anal2, 6 (2024). https://doi.org/10.1007/s44257-024-00008-z ...
(Maddern et al.2017; Sattler et al.2018), depicting the city of Oxford, UK under various seasonal conditions, and the University of Michigan North Campus Long-Term Vision and LIDAR (Carlevaris-Bianco et al.2016) datasets use Lidar data to obtain reference poses. However, human intervention ...
Semantic segmentation is an extensively studied task in computer vision, with numerous methods proposed every year. Thanks to the advent of deep learning i
Semantic scene completion (SSC) aims to jointly estimate the complete geometry and semantics of a scene, assuming partial sparse input. In the last years f
Castro, M.N.; Dosen, S. Continuous Semi-autonomous Prosthesis Control Using a Depth Sensor on the Hand.Front. Neurorobot.2022,16, 814973. [Google Scholar] [CrossRef] Ghazaei, G.; Alameer, A.; Degenaar, P.; Morgan, G.; Nazarpour, K. Deep learning-based artificial vision for grasp ...
Perhaps one of the most promising applications of AI in mining is in the development of anti-collision systems based on computer vision. These systems use advanced sensors, such as cameras and LIDAR [19,20], along with sophisticated algorithms and deep learning techniques to detect and track the...