...Subramanian Chidambaram; Rahul Jain; Sai Swarup Reddy; Asim Unmesh; Karthik Ramani Computer vision (CV) algorithms require large annotated datasets that are often labor-intensive and expensive to create. We propose AnnotateXR, an extended reality (XR) workflow to collect various high-fidelity data...

...@cranfield.ac.uk 1 Corresponding author. Email: tom.teschner@cranfield.ac.uk Email: i.moulitsas@cranfield.ac.uk 10 08 2023 02 01 2024 02 01 2024 05 03 2024 Graphical Abstract Figure machine learning computer vision vortex core detection fluid mechanics...

..., using the line integral convolution method. We show that our computer vision-based approach is able to reduce the number of false positives and negatives while removing the need for a cutoff. We validate our approach using the Taylor–Green vortex problem to generate input images for our network. We show...

... Extraction via a Computer Vision Approach ,” J. Synchrotron. Radiat. , 25 ( 2 ), pp. 439 – 450 . 10.1107/S1600577518000425 [3] Bramble , M. , Flemming , R. , and McCausland , P. , 2014 , “ Grain Size, ‘Spotty’ XRD Rings, and Chemin: Two-Dimensional X-Ray Diffraction as a Proxy...

... pivotal problems currently limiting AR applications. Computer vision techniques have the potential to provide the accurate registration data needed by AR systems. The vision-based methods can be divided into the marker-based approach and the natural-feature-based approach. augmented reality...

... solid modelling mesh generation computational complexity image processing computational geometry 3D reconstruction silhouettes computer vision camera calibration triangulation The 3D model construction from 2D images is of considerable importance in the various industrial areas...

... IN ENGINEERING . Manuscript received Feb. 2001; revised May 2001. Associate Editor: D. Rosen. 01 Feb 2001 01 May 2001 sensors robot vision position measurement computer vision There is a rising interest in automatically measuring coordinate data and reconstructing the geometry...