An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns
An Attentional Approach for Perceptual Grouping of Spatially Distributed Patterns
复制标题
空间分布模式感知分组的注意方法
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
B. Mertsching
中科院分区：
文献类型：
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作者：
M. Z. Aziz;B. Mertsching
自然（人类）的眼睛可以很容易地检测到从空间分布的离散实体中出现的大的视觉图案或对象。模式分析的这一方面在文献中几乎没有涉及。我们提出了一种生物启发的方法，从视觉注意力的概念，将分布在一起的宏观层面的模式。与现有的视觉注意力模型所采用的通常方法不同，本文引入了与当前注意力焦点相关的特征和位置的短期激励，并与返回的空间抑制相平行。这导致注意力系统专注于场景中可能形成有意义的全局模式的类似单元。从实验结果可以看出，这一过程的结果可以帮助扩大智能机器视觉的范围。
A natural (human) eye can easily detect large visual patterns or objects emerging from spatially distributed discrete entities. This aspect of pattern analysis has been barely addressed in literature. We propose a biologically inspired approach derived from the concept of visual attention to associate together the distributed pieces of macro level patterns. In contrast to the usual approach practiced by the existing models of visual attention, this paper introduces a short-term excitation on the features and locations related to the current focus of attention in parallel to the spatial inhibition of return. This causes the attention system to fixate on analogous units in the scene that may formulate a meaningful global pattern. It is evident from the results of experiments that the outcome of this process can help in widening the scope of intelligent machine vision.