MSLD: A robust descriptor for line matching

By Zhiheng Wang, Fuchao Wu, Zhanyi Hu. Pattern Recognition, 2009

308 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7cfa14f96f5634af1078ad96e49f697fc2f6740b

How researchers see this paper

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

In Aerospace Engineering

1. Reinhard Koch
2. Patrick Bouthemy
3. Lilian Zhang
4. Denis Fortun
5. Charles Kervrann

In Computer Vision and Pattern Recognition

1. Reinhard Koch
2. Patrick Bouthemy
3. Lilian Zhang
4. Denis Fortun
5. Charles Kervrann
6. Peyman Milanfar
7. Cordelia Schmid
8. Andrew Zisserman

Citations in the corpus

• Optical flow modeling and computation: A survey (2015, methodology): “The similarity measures can be patch-based distances (see Section 3.1.2), or more complex and sparse feature descriptions often based on histogram of oriented gradients [20,71,169,282], or segment matching [258].”
• An efficient and robust line segment matching approach based on LBD descriptor and pairwise geometric consistency (2013, methodology): “Motivated by SIFT [23] and MSLD [11], two Gaussian functions”