Robust corner detection under varying illumination
Xiao-Guang Lv, Jie Na Zhou · 2003
Corners are useful features in computer vision tasks. In this paper we present an algorithm for robust corner detection in variable illumination scenes, which is necessary in many real applications. The new algorithm is analyzed based on the perception of human vision system, and experimental results are given to validate its effectiveness.