Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality.

Colour Calibration of a Head Mounted Display for Colour Vision Research Using Virtual Reality.
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DOI:
10.1007/s42979-021-00855-7
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发表时间:
2022
期刊:
SN computer science
影响因子:
--
通讯作者:
Gegenfurtner KR
Gegenfurtner KR
中科院分区:
其他
文献类型:
--
作者:
Gil Rodríguez R;Bayer F;Toscani M;Guarnera D;Guarnera GC;Gegenfurtner KR

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虚拟现实(VR)技术为视觉研究人员提供了在模拟真实世界场景中进行沉浸式研究的机会。然而,VR头戴式显示器(HMD)需要在亮度和色度方面进行准确的色彩校准,以精确控制呈现的刺激。这样的校准提出了重大的新挑战,例如,由于HMD的大视场,或用于场景渲染的软件实现,这可能会改变物体的颜色外观。在这里,我们提出了一个使用成像色度计I29 (Radiant Vision Systems, Redmond, WA, USA)校准HMD的框架。我们研究了两种场景,使用和不使用渲染软件进行可视化。此外,我们还通过游戏引擎软件虚幻引擎4为VR提供了一个色彩恒常性实验设计。研究对象的颜色是根据先前定义的校准选择的。结果显示,参与者的色彩稳定性表现较高,这与最近在现实世界中进行的研究一致。我们的研究表明,我们的方法允许我们控制和测量HMD中呈现的颜色,有效地使用VR技术进行色彩视觉研究。
Virtual reality (VR) technology offers vision researchers the opportunity to conduct immersive studies in simulated real-world scenes. However, an accurate colour calibration of the VR head mounted display (HMD), both in terms of luminance and chromaticity, is required to precisely control the presented stimuli. Such a calibration presents significant new challenges, for example, due to the large field of view of the HMD, or the software implementation used for scene rendering, which might alter the colour appearance of objects. Here, we propose a framework for calibrating an HMD using an imaging colorimeter, the I29 (Radiant Vision Systems, Redmond, WA, USA). We examine two scenarios, both with and without using a rendering software for visualisation. In addition, we present a colour constancy experiment design for VR through a gaming engine software, Unreal Engine 4. The colours of the objects of study are chosen according to the previously defined calibration. Results show a high-colour constancy performance among participants, in agreement with recent studies performed on real-world scenarios. Our studies show that our methodology allows us to control and measure the colours presented in the HMD, effectively enabling the use of VR technology for colour vision research.