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基于轴向分布式传感的增强现实三维物体可视化与识别

Augmented reality three-dimensional object visualization and recognition with axially distributed sensing.

作者信息

Markman Adam, Shen Xin, Hua Hong, Javidi Bahram

出版信息

Opt Lett. 2016 Jan 15;41(2):297-300. doi: 10.1364/OL.41.000297.

DOI:10.1364/OL.41.000297
PMID:26766698
Abstract

An augmented reality (AR) smartglass display combines real-world scenes with digital information enabling the rapid growth of AR-based applications. We present an augmented reality-based approach for three-dimensional (3D) optical visualization and object recognition using axially distributed sensing (ADS). For object recognition, the 3D scene is reconstructed, and feature extraction is performed by calculating the histogram of oriented gradients (HOG) of a sliding window. A support vector machine (SVM) is then used for classification. Once an object has been identified, the 3D reconstructed scene with the detected object is optically displayed in the smartglasses allowing the user to see the object, remove partial occlusions of the object, and provide critical information about the object such as 3D coordinates, which are not possible with conventional AR devices. To the best of our knowledge, this is the first report on combining axially distributed sensing with 3D object visualization and recognition for applications to augmented reality. The proposed approach can have benefits for many applications, including medical, military, transportation, and manufacturing.

摘要

增强现实(AR)智能眼镜显示器将现实世界场景与数字信息相结合,推动了基于AR的应用的快速发展。我们提出了一种基于增强现实的方法,用于使用轴向分布式传感(ADS)进行三维(3D)光学可视化和目标识别。对于目标识别,重建3D场景,并通过计算滑动窗口的方向梯度直方图(HOG)来执行特征提取。然后使用支持向量机(SVM)进行分类。一旦识别出目标,带有检测到的目标的3D重建场景就会在智能眼镜中进行光学显示,使用户能够看到目标、去除目标的部分遮挡,并提供有关目标的关键信息,如3D坐标,而这是传统AR设备无法做到的。据我们所知,这是关于将轴向分布式传感与3D目标可视化和识别相结合以应用于增强现实的首次报道。所提出的方法对许多应用都有好处,包括医疗、军事、交通和制造等领域。

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