Visual Coherence for Augmented Reality

A. Gorbunov
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引用次数: 1

Abstract

Introduction. The 2020s were marked by the emergence of a new generation of computer simulators using augmented reality. One of the promising advantages of augmented reality technology is the ability to safely simulate hazardous situations real-world. A prerequisite for realizing this advantage is to provide the visual coherence of augmented reality scenes: virtual objects must be indistinguishable from real ones. All IT leaders consider augmented reality as a next “big wave”; thus, the visual coherence is becoming a key issue for IT in general. However, it is in aerospace applications that the visual coherence has already acquired practical significance. An example is Boeing's development of an augmented reality flight simulator, which began in 2022. Visual coherence is a complex problem, one of the aspects of which is to provide the correct overall coloration of virtual objects in an augmented reality scene. The objective of the research was to develop a new method of such tinting.Materials and Methods. The developed method (called spectral transplantation) uses two-dimensional spectral image transformations.Results. A spectral transplantation technology is proposed that provides direct transfer of color, brightness, and contrast characteristics from the real background to virtual objects. An algorithm for automatic selection of the optimal type of spectral transformation has been developed.Discussion and Conclusion. Being a fully automatic process without recording lighting conditions, spectral transplantation solves a number of complex problems of visual coherence. Spectral transplantation can be a valuable addition to other methods of providing visual coherence.
增强现实的视觉一致性
介绍。本世纪20年代,新一代使用增强现实技术的计算机模拟器出现了。增强现实技术的一个很有前途的优点是能够安全地模拟现实世界的危险情况。实现这一优势的先决条件是提供增强现实场景的视觉一致性:虚拟对象必须与真实对象无法区分。所有IT领导者都认为增强现实是下一个“大浪潮”;因此,视觉一致性正在成为IT的一个关键问题。然而,在航空航天应用中,视觉相干性已经获得了实际意义。波音公司从2022年开始开发增强现实飞行模拟器就是一个例子。视觉一致性是一个复杂的问题,其中一个方面是在增强现实场景中为虚拟物体提供正确的整体颜色。本研究的目的是开发一种新的着色方法。材料与方法。所开发的方法(称为光谱移植)使用二维光谱图像变换。提出了一种光谱移植技术,可以将真实背景的颜色、亮度和对比度特征直接转移到虚拟物体上。提出了一种自动选择最优谱变换类型的算法。讨论与结论。光谱移植是一个无需记录光照条件的全自动过程,解决了许多复杂的视觉一致性问题。光谱移植可以是提供视觉一致性的其他方法的一个有价值的补充。
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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