Marker Quality Improvement in Augmented Reality Using Grey-scale Method

Dahliyusmanto Dahliyusmanto, M. N. Omar, Devi Willieam Anggara, E. Hamdani, Budhi Anto, Zuli Laili Isnaini
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引用次数: 1

Abstract

Augmented Reality (AR) is a technology which combines the real world and virtual world, where users can feel the interaction between the two worlds. Marker Augmented reality or known as marker-based tracking technique uses a marker as media to display this technology. The marker is used as an object that contains images with unique patterns to identify each different object. Because it has a unique pattern, not any objects can be used as a marker. In Vuforia SDK, image recognition is done using a grayscale technique to search for angular features of the pixel image. If the image was taken directly using the camera in the old times in the form of Black and White (BNW), it has bad quality and most likely cannot be used as a marker because it has a few features. In BNW images taken directly from the camera, the Vuforia SDK detects only a few features in the image. This journal explains how the technique of making a BNW image into a marker can be detected by Augmented Reality Technology.
利用灰度法改进增强现实中的标记质量
增强现实(AR)是一种将现实世界和虚拟世界相结合的技术,用户可以感受到两个世界之间的互动。增强现实或称为基于标记的跟踪技术使用标记作为媒体来显示该技术。标记用作包含具有唯一模式的图像的对象,以识别每个不同的对象。因为它有独特的图案,所以不是任何物体都可以作为标记。在Vuforia SDK中,图像识别使用灰度技术来搜索像素图像的角度特征。如果用旧时代的相机以黑白(BNW)的形式直接拍摄的图像,它的质量很差,而且很可能不能用作标记,因为它有一些特征。在直接从相机拍摄的BNW图像中,Vuforia SDK仅检测图像中的几个特征。本杂志解释了如何通过增强现实技术检测将BNW图像制成标记的技术。
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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