English

Interactive Illumination Invariance

Computer Vision and Pattern Recognition 2016-07-21 v1

Abstract

Illumination effects cause problems for many computer vision algorithms. We present a user-friendly interactive system for robust illumination-invariant image generation. Compared with the previous automated illumination-invariant image derivation approaches, our system enables users to specify a particular kind of illumination variation for removal. The derivation of illumination-invariant image is guided by the user input. The input is a stroke that defines an area covering a set of pixels whose intensities are influenced predominately by the illumination variation. This additional flexibility enhances the robustness for processing non-linearly rendered images and the images of the scenes where their illumination variations are difficult to estimate automatically. Finally, we present some evaluation results of our method.

Keywords

Cite

@article{arxiv.1607.05967,
  title  = {Interactive Illumination Invariance},
  author = {Han Gong and Graham Finlayson},
  journal= {arXiv preprint arXiv:1607.05967},
  year   = {2016}
}
R2 v1 2026-06-22T14:59:29.495Z