Image Representational Model for Predicting Visual Distinctness of Objects

Here we show that a notion of congruence in statistical structureacross2 0frequency bandsproduces a useful definition of visualpatterns for perceiving target distinctness. In order to reach such a conclusion, ,firstly,the notion of congruence is used to induce a representational modelfor 2 0 images. Secondly, the visual-pattern based representational model is used to define a visual target distinctness metricthat involvesapplyinga simple decision rule over the distances between the visualpatterns. Finally, a relation is established between the computational distinctness metric and psychophysical target distinctness estimates.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: J. Chamorro, Javier Martinez-Baena, Rosa Rodriguez-Sánchez, Xose R. Fernández-Vidal
• Keywords: Computer Vision, ICPR 2000, Psychophysical Target Distinctness, Simple Decision Rule, Visual Target Distinctness