A V2 neuron-based model for salient point detection

We describe a salient point detection model that incorporates recent findings about the response properties of neurons in cortical area V2. It has been reported that certain V2 neurons encode combinations of orientations. The model reported here integrates this finding as the last stage of a hierarchical architecture modeled after the visual processing in mammalian brains. Our tests of this model on real images demonstrate its effectiveness in capturing the intuitive notion of saliency as well as its robustness against viewpoint changes.