LAT: Local area transform for cross modal correspondence matching

作者：

Highlights：

• This paper describes a simple but powerful image tranform called local area transform (LAT) for modality-robust correspondence estimation.

• LAT transforms an image from the intensity domain to the local area domain, which is invariant under nonlinear intensity deformation, especially radiometric, photometric, and spectral deformations.

• Experimental results show that LA-transformed images provide consistency for nonlinearly deformed input images, even under random intensity deformations.

摘要

Highlights•This paper describes a simple but powerful image tranform called local area transform (LAT) for modality-robust correspondence estimation.•LAT transforms an image from the intensity domain to the local area domain, which is invariant under nonlinear intensity deformation, especially radiometric, photometric, and spectral deformations.•Experimental results show that LA-transformed images provide consistency for nonlinearly deformed input images, even under random intensity deformations.

论文关键词：Cross-modal correspondence matching,Local area transform,Modality invariant,Stereo matching

论文评审过程：Received 31 August 2015, Revised 4 October 2016, Accepted 5 October 2016, Available online 8 October 2016, Version of Record 20 October 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.006