A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance

By Joachim Weickert, Hanno Scharr. Journal of Visual Communication and Image Representation, 2002

299 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Geophysics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/29d389097df4ff6c21a5ba7818f9f7789a00f708

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Pablo Fernández Alcantarilla
2. Adrien Bartoli
3. Andrew J. Davison
4. Jesús Nuevo
5. José M. M. Montiel
6. Juan D. Tardós
7. Daniel Cremers
8. Luc Van Gool

In Geophysics

1. Pablo Fernández Alcantarilla
2. Adrien Bartoli
3. Andrew J. Davison

In Mechanics of Materials

1. Pablo Fernández Alcantarilla
2. Adrien Bartoli
3. Andrew J. Davison

Citations in the corpus

• Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces (2013, background): “Scharr filters approximate rotation invariance better than other filters or central differences differentiation [18].”
• KAZE Features (2012, methodology): “In particular, we think that higher quality nonlinear diffusion filtering such as coherence-enhancing diffusion filtering [21] can improve our current approach substantially.”