基于智能手机相机的增强现实三维图像生成单视图深度图估计

Jun’Nosuke Takarabe, Irawati Nurmala Sari, Weiwei Du
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引用次数: 0

摘要

沉浸式体验展览,如增强现实(AR),是一种享受博物馆和艺术画廊的方式,因为这种方式不仅可以轻松更新信息,而且不需要实际存在。然而,由于深度信息未知或成本和时间的原因,AR的三维(3D)图像很难应用于一张图像。本文设计了一种基于单视角图像的深度图估计方法,利用智能手机摄像头在AR中生成三维图像。在个人电脑(PC)上,AR depth Lab[7]中加入了一些功能。然后,将改进的AR Depth Lab[7]安装到智能手机中。通过基于patch的深度估计得到深度图[8],并保存到智能手机中。通过实验确定了该算法的合适参数,如补丁大小、裁剪图像大小和合适的图像模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth Map Estimation of Single-View Image using Smartphone Camera for a 3-Dimension Image Generation in Augmented Reality
Immersive experience exhibits such as augmented reality (AR) are a way to enjoy museums and art galleries because this way not only may update information easily but also does not require physical existence. However, 3-dimension (3D) images of AR are difficult to apply with one image as depth information either is unknown, or is cost and time consuming. This paper designs a depth map estimation method from single-view image by using smartphone camera to generate a 3D image in AR. Some functions are added into AR Depth Lab [7] in a personal computer (PC). Then, the improve AR Depth Lab [7] is installed into the smartphone. The depth map can be obtained by using patch-based depth estimation [8] and saved into the smartphone. The appropriate parameters of the proposal such as patch size, the cropped image size and the appropriate image models are set by experiments.
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