Detection of multi-part objects by top-down perceptual grouping

Vénérée Randrianarisoa, J. Bernier, R. Bergevin
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引用次数: 6

Abstract

In this paper, a top-down approach based on perceptual grouping is proposed for multi-part objects detection. The abstract conceptual category of multi-part objects is formalized by a set of global criteria. These criteria will enable the evaluation of the segmentation quality in order to determine if the whole grouping is perceptually significant and if it has a good perceptual shape. A new cognitive vision methodology, called SAFE (subjectivity and formalism explicitly), is presented. Its goal is to help identify the proper global criteria and to validate the judgment derived from formal calculations of these criteria by human judgment.
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基于自顶向下感知分组的多部分物体检测
本文提出了一种基于感知分组的自顶向下多部分目标检测方法。多部分对象的抽象概念范畴是通过一套全局准则形式化的。这些标准将能够评估分割质量,以确定整个分组是否在感知上显著,以及它是否具有良好的感知形状。提出了一种新的认知视觉方法,称为SAFE(主观性和形式主义)。其目标是帮助确定适当的全局标准,并通过人类判断来验证从这些标准的正式计算中得出的判断。
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