Robust Corner Detection under Varying Illumination

Authors:
Affiliations:
Venue:
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Year:
1999

Citing 0
Cited 1

Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

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 (HVS), and experimental results proved its effectiveness.