Interactive Illumination Invariance
Han Gong, Graham Finlayson

TL;DR
This paper introduces an interactive system that allows users to specify illumination variations to generate robust, illumination-invariant images, improving over automated methods especially in complex scenes.
Contribution
The system enables user-guided illumination-invariant image derivation, providing flexibility and robustness for challenging scenes where automatic methods struggle.
Findings
Enhanced robustness in non-linear rendered images
Effective removal of specified illumination variations
User-guided approach improves over automated methods
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.
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