Local figure-ground cues are valid for natural images
Local figure-ground cues are valid for natural images
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DOI：
10.1167/7.8.2
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发表时间：
2007-01-01
影响因子：
1.8
通讯作者：
Malik, Jitendra
中科院分区：
文献类型：
--
作者：
Fowlkes, Charless C.;Martin, David R.;Malik, Jitendra
图底组织是指分隔两个区域的轮廓属于其中一个区域的视觉感知。最近的研究发现，早在反应出现后 10-25 毫秒，V2 中的图形-背景分配就存在神经关联，这为局部自下而上处理的作用提供了强有力的支持。从本地计算的线索中可以获得多少关于图形地面分配的信息？使用大量自然图像，其中相邻区域由人类观察者分配图形-地面关系，我们量化了图形区域局部趋于更小、更凸且位于地面区域下方的程度。我们的结果表明这些格式塔线索在生态上是有效的，并且我们量化了它们的相对力量。我们还开发了一种简单的自下而上的图形-背景分配计算模型，以图像轮廓作为输入。使用适合自然图像统计的参数，该模型能够在场景上下文受限时匹配人类水平的表现。
Figure-ground organization refers to the visual perception that a contour separating two regions belongs to one of the regions. Recent studies have found neural correlates of figure-ground assignment in V2 as early as 10-25 ms after response onset, providing strong support for the role of local bottom-up processing. How much information about figure ground assignment is available from locally computed cues? Using a large collection of natural images, in which neighboring regions were assigned a figure-ground relation by human observers, we quantified the extent to which figural regions locally tend to be smaller, more convex, and lie below ground regions. Our results suggest that these Gestalt cues are ecologically valid, and we quantify their relative power. We have also developed a simple bottom-up computational model of figure-ground assignment that takes image contours as input. Using parameters fit to natural image statistics, the model is capable of matching human-level performance when scene context limited.