HIGHLIGHTS
- who: Noriyasu Omata and collaborators from the DepartmentThe University Tokyo, Japan have published the paper: A novel method for unsteady flow field segmentation based on stochastic similarity of direction, in the Journal: (JOURNAL) of 20/04/2018
- what: To address these challenges the authors propose a novel method for the time-invariant spatial segmentation of an unsteady flow field. The authors propose a method that identifies regions in space that remain similar over time in 3D unsteady flow data. The authors propose using the following value: X 1 σ2=d(pα, pα0 )2.
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.