Image retrieval using visual attention model is a new research direction.
利用视觉注意力模型进行图像检索是一个新的研究方向。
This paper presents a novel algorithm based on visual attention model to detect blob targets in optical and infrared images.
针对可见光和红外图像中的各类团块目标，提出一种基于视觉注意模型的团块目标检测方法。
This research is a simulation model based on EPIC and some other visual attention model. Attention is considered to play a role of monitoring and adjusting.
本研究建立在EPIC以及其它相关视觉注意模型基础上的视觉注意仿真模型，认为注意在认知加工活动中起监督和调节的作用。
A new visual attention model used for rapid perception of complex targets in natural scene is proposed. In the learning process, the model extracts saliency blobs from a given target's image.
针对自然场景图像中复杂结构目标的快速定位问题，提出一种新的视觉注意模型。
A new visual attention model used for rapid perception of complex targets in natural scene is proposed. In the learning process, the model extracts saliency blobs from a given target's image.
针对自然场景图像中复杂结构目标的快速定位问题，提出一种新的视觉注意模型。
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