Saliency Map for Wide Angle Fovea Vision Sensor

This paper proposes and develops a saliency map suitable for the wide angle fovea (WAF) sensor. The saliency map is well-known as a computational method inspired from the human cognitive vision processing. This bottom-up processing method is often available for finding a target., which should be paid attention to., automatically from the arbitrary scene. However., it is not necessarily sufficient to use the existing saliency sap directly with the WAF sensor. Usually., we utilize the WAF sensor by combining different-level image processing tasks using its high spatial resolution central field of view (FOV) or its wide-angle FOV cooperatively., because the WAF sensor does not provide with a uniform resolution input image. When we apply the saliency map for the input image by the WAF sensor., we need to take into account unique properties of this biologically-inspired special vision sensor. Therefore., we design a novel saliency map model which is more suitable for the WAF sensor. After configuration of this specific saliency map., some verification experiments were implemented to enhance advantages of our proposed saliency map for the WAF sensor., i.e., WAF saliency map.