Guee-Sang Lee

Learn More
Most methods for the detection and removal of specular reflections suffer from nonuniform highlight regions and/or nonconverged artifacts induced by discontinuities in the surface colors, especially when dealing with highly textured, multicolored images. In this paper, a novel noniterative and predefined constraint-free method based on tensor voting is(More)
Nowadays, various kinds of signals and data were collected to investigate human brain’s activities for disease detection. In particular, the functional magnetic resonance imaging (fMRI) provides a powerful tool for enquiring the brain functions. Learning the activity patterns that are related to the specific cognitive states from fMRI data is one of the(More)
This paper addresses the problem of efficient and effective restoration of text images , by formulating the problem as inferring the surface from a sparse and noisy point set in a 3D structure tensor space. Given a set of noisy data correspondence in corrupted images, the proposed method extracts good matches and rejects the noisy elements. The methodology(More)
  • 1