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彩色照明辨别能力表明,人类的颜色恒常性针对蓝色日光照明进行了优化。

Chromatic illumination discrimination ability reveals that human colour constancy is optimised for blue daylight illuminations.

作者信息

Pearce Bradley, Crichton Stuart, Mackiewicz Michal, Finlayson Graham D, Hurlbert Anya

机构信息

Institute of Neuroscience, Faculty of Medical Sciences, Newcastle University, England, United Kingdom.

School of Computing Sciences, University of East Anglia, Norwich, England, United Kingdom.

出版信息

PLoS One. 2014 Feb 19;9(2):e87989. doi: 10.1371/journal.pone.0087989. eCollection 2014.

Abstract

The phenomenon of colour constancy in human visual perception keeps surface colours constant, despite changes in their reflected light due to changing illumination. Although colour constancy has evolved under a constrained subset of illuminations, it is unknown whether its underlying mechanisms, thought to involve multiple components from retina to cortex, are optimised for particular environmental variations. Here we demonstrate a new method for investigating colour constancy using illumination matching in real scenes which, unlike previous methods using surface matching and simulated scenes, allows testing of multiple, real illuminations. We use real scenes consisting of solid familiar or unfamiliar objects against uniform or variegated backgrounds and compare discrimination performance for typical illuminations from the daylight chromaticity locus (approximately blue-yellow) and atypical spectra from an orthogonal locus (approximately red-green, at correlated colour temperature 6700 K), all produced in real time by a 10-channel LED illuminator. We find that discrimination of illumination changes is poorer along the daylight locus than the atypical locus, and is poorest particularly for bluer illumination changes, demonstrating conversely that surface colour constancy is best for blue daylight illuminations. Illumination discrimination is also enhanced, and therefore colour constancy diminished, for uniform backgrounds, irrespective of the object type. These results are not explained by statistical properties of the scene signal changes at the retinal level. We conclude that high-level mechanisms of colour constancy are biased for the blue daylight illuminations and variegated backgrounds to which the human visual system has typically been exposed.

摘要

人类视觉感知中的颜色恒常性现象能使表面颜色保持不变,尽管由于照明变化,其反射光会发生改变。虽然颜色恒常性是在有限的照明子集下进化而来的,但尚不清楚其潜在机制(被认为涉及从视网膜到皮层的多个组成部分)是否针对特定的环境变化进行了优化。在这里,我们展示了一种在真实场景中使用照明匹配来研究颜色恒常性的新方法,与之前使用表面匹配和模拟场景的方法不同,该方法允许测试多种真实照明。我们使用由熟悉或不熟悉的固体物体组成的真实场景,这些物体置于均匀或斑驳的背景前,并比较来自日光色度轨迹(近似蓝 - 黄)的典型照明和来自正交轨迹(近似红 - 绿,相关色温6700K)的非典型光谱的辨别性能,所有这些照明均由一个10通道LED照明器实时产生。我们发现,沿着日光轨迹的照明变化辨别能力比非典型轨迹差,并且对于更蓝的照明变化尤其差,这反过来表明表面颜色恒常性在蓝色日光照明下最佳。对于均匀背景,无论物体类型如何,照明辨别能力也会增强,因此颜色恒常性会减弱。这些结果无法通过视网膜水平上场景信号变化的统计特性来解释。我们得出结论,颜色恒常性的高级机制偏向于人类视觉系统通常所接触的蓝色日光照明和斑驳背景。

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