Super-resolution PIV by recursive local-correlation

By D. Hart. 2000

177 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/543dd09f0700b9dcf0bf1e6be53db61396ade9cf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. I. Castro
2. Byk Lim
3. R. Hoxey
4. Stefano Leonardi
5. Zheng-Tong Xie
6. T. G. Thomas
7. O. Coceal
8. Heechang Lim

In Computer Vision and Pattern Recognition

1. I. Castro
2. Byk Lim
3. R. Hoxey

In Global and Planetary Change

1. I. Castro
2. Byk Lim
3. R. Hoxey

Citations in the corpus

• Bluff bodies in deep turbulent boundary layers: Reynolds-number issues (2007, methodology): “In both cases, the use of recursive algorithms designed to allow the shifting of successive interrogation areas by an amount depending on the local velocity (Hart 2000) was necessary to minimize errors.”