Saliency Map for Wide Angle Fovea Vision Sensor
Saliency Map for Wide Angle Fovea Vision Sensor
复制标题
广角中央凹视觉传感器的显着图
DOI：
10.1109/iecon.2018.8591050
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Nobuyuki Hasebe
中科院分区：
文献类型：
--
作者：
Rei Murakami;Sota Shimizu;Tatsuya Yamazaki;Nobuyuki Hasebe
本文提出并发展了一种适用于广角中心凹（WAF）传感器的显著图。显着图是一种受人类认知视觉处理启发的计算方法。这种自下而上的处理方法通常可用于寻找目标。这是应该引起重视的。自动从任意场景中。但是，直接与WAF传感器一起使用现有的显著性SAP不一定足够。一般来说，我们通过使用其高空间分辨率中心视场（FOV）或其广角FOV协作地组合不同级别的图像处理任务来利用WAF传感器，因为WAF传感器不提供均匀分辨率的输入图像。当我们通过WAF传感器将显著图应用于输入图像时，我们需要考虑这种生物启发的特殊视觉传感器的独特属性。因此，我们设计了一种新的显著图模型，它更适合于WAF传感器。在配置该特定显著性图之后，一些验证实验被实施以增强我们提出的用于WAF传感器的显著图的优点。也就是说，WAF显着图。
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.