Real-time color correction for a photo-based augmented reality system

M. Ohta, Tsukasa Sato, M. Motokurumada, K. Yamashita
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引用次数: 1

Abstract

This report proposes methods for correcting the color tone of photographic images in a photo-based augmented reality (AR) system in real time to suit the user's environment. Photo-based AR systems achieve AR by selecting a specific photographic image, which was shot in advance, to suit user's camera position and “pasting” it onto the camera view. Unlike conventional systems, this system does not require a 3D model, so no model rendering, which reduces the rendering load, is necessary. The approach should be effective in terminals with small battery capacities such as smartphones. However, this system becomes problematic if the photograph of the object selected does not fit well with the background lighting conditions when the photograph was shot, because the AR may vary. Thus, the proposed method facilitates more natural AR by correcting the color tone of the photographic image.
基于照片的增强现实系统的实时色彩校正
本报告提出了在基于照片的增强现实(AR)系统中实时校正摄影图像色调的方法,以适应用户的环境。基于照片的增强现实系统通过选择事先拍摄的特定照片图像,以适应用户的相机位置,并将其“粘贴”到相机视图中来实现增强现实。与传统系统不同,该系统不需要3D模型,因此无需模型渲染,从而减少了渲染负载。这种方法在智能手机等电池容量较小的终端上应该是有效的。但是,如果所选对象的照片与拍摄照片时的背景照明条件不太匹配,则该系统就会出现问题,因为AR可能会发生变化。因此,所提出的方法通过校正摄影图像的色调来促进更自然的增强现实。
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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