Itoh Yuta, Dzitsiuk Maksym, Amano Toshiyuki, Klinker Gudrun
Department of Informatics at Technical University of Munich.
Faculty of Systems Engineering at Wakayama University.
IEEE Trans Vis Comput Graph. 2015 Nov;21(11):1269-1278. doi: 10.1109/TVCG.2015.2459892.
The fundamental issues in Augmented Reality (AR) are on how to naturally mediate the reality with virtual content as seen by users. In AR applications with Optical See-Through Head-Mounted Displays (OST-HMD), the issues often raise the problem of rendering color on the OST-HMD consistently to input colors. However, due to various display constraints and eye properties, it is still a challenging task to indistinguishably reproduce the colors on OST-HMDs. An approach to solve this problem is to pre-process the input color so that a user perceives the output color on the display to be the same as the input. We propose a color calibration method for OST-HMDs. We start from modeling the physical optics in the rendering and perception process between the HMD and the eye. We treat the color distortion as a semi-parametric model which separates the non-linear color distortion and the linear color shift. We demonstrate that calibrated images regain their original appearance on two OST-HMD setups with both synthetic and real datasets. Furthermore, we analyze the limitations of the proposed method and remaining problems of the color reproduction in OST-HMDs. We then discuss how to realize more practical color reproduction methods for future HMD-eye system.
增强现实(AR)中的基本问题在于如何自然地将用户所看到的现实与虚拟内容进行融合。在使用光学透视头戴式显示器(OST-HMD)的AR应用中,这些问题常常引发在OST-HMD上一致地呈现与输入颜色相同的颜色的难题。然而,由于各种显示限制和眼睛特性,在OST-HMD上难以区分地再现颜色仍然是一项具有挑战性的任务。解决此问题的一种方法是对输入颜色进行预处理,以便用户在显示器上感知到的输出颜色与输入颜色相同。我们提出了一种针对OST-HMD的颜色校准方法。我们从对HMD与眼睛之间渲染和感知过程中的物理光学进行建模开始。我们将颜色失真视为一个半参数模型,该模型将非线性颜色失真和线性颜色偏移区分开来。我们证明,在校准后的图像在使用合成数据集和真实数据集的两种OST-HMD设置上都恢复了其原始外观。此外,我们分析了所提出方法的局限性以及OST-HMD中颜色再现的遗留问题。然后,我们讨论了如何为未来的HMD-眼睛系统实现更实用的颜色再现方法。