Lightness Perception in Complex Scenes.

IF 5 2区 医学 Q1 NEUROSCIENCES
Richard F Murray
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引用次数: 4

Abstract

Lightness perception is the perception of achromatic surface colors: black, white, and shades of grey. Lightness has long been a central research topic in experimental psychology, as perceiving surface color is an important visual task but also a difficult one due to the deep ambiguity of retinal images. In this article, I review psychophysical work on lightness perception in complex scenes over the past 20 years, with an emphasis on work that supports the development of computational models. I discuss Bayesian models, equivalent illumination models, multidimensional scaling, anchoring theory, spatial filtering models, natural scene statistics, and related work in computer vision. I review open topics in lightness perception that seem ready for progress, including the relationship between lightness and brightness, and developing more sophisticated computational models of lightness in complex scenes.

复杂场景中的亮度感知。
明度感知是对消色差表面颜色的感知:黑色、白色和灰色阴影。亮度一直是实验心理学的核心研究课题,因为感知表面颜色是一项重要的视觉任务,但由于视网膜图像的深度模糊性,也是一项困难的视觉任务。在这篇文章中,我回顾了过去20年来关于复杂场景中亮度感知的心理物理学工作,重点是支持计算模型发展的工作。我讨论贝叶斯模型,等效照明模型,多维尺度,锚定理论,空间过滤模型,自然场景统计,以及计算机视觉中的相关工作。我回顾了在亮度感知方面似乎准备取得进展的开放主题,包括亮度和亮度之间的关系,以及在复杂场景中开发更复杂的亮度计算模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
期刊介绍: The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.
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