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Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone

机译:Mobile3DRecon:手机上的实时单手套3D重建

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We present a real-time monocular 3D reconstruction system on a mobile phone, called Mobile3DRecon. Using an embedded monocular camera, our system provides an online mesh generation capability on back end together with real-time 6DoF pose tracking on front end for users to achieve realistic AR effects and interactions on mobile phones. Unlike most existing state-of-the-art systems which produce only point cloud based 3D models online or surface mesh offline, we propose a novel online incremental mesh generation approach to achieve fast online dense surface mesh reconstruction to satisfy the demand of real-time AR applications. For each keyframe of 6DoF tracking, we perform a robust monocular depth estimation, with a multi-view semi-global matching method followed by a depth refinement post-processing. The proposed mesh generation module incrementally fuses each estimated keyframe depth map to an online dense surface mesh, which is useful for achieving realistic AR effects such as occlusions and collisions. We verify our real-time reconstruction results on two mid-range mobile platforms. The experiments with quantitative and qualitative evaluation demonstrate the effectiveness of the proposed monocular 3D reconstruction system, which can handle the occlusions and collisions between virtual objects and real scenes to achieve realistic AR effects.
机译:我们在手机上展示了一个名为Mobile3Drecon的实时单目3D重建系统。使用嵌入式单眼摄像头,我们的系统在后端提供了在线网格生成功能,以及前端的实时6DOF姿势跟踪,以实现用户在移动电话上实现现实的AR效果和交互。与大多数现有的最先进的系统不同,它仅在线或曲面网格产生的基于点云的3D模型,我们提出了一种新颖的在线增量网格生成方法来实现快速的在线密集的表面网格重建,以满足实时需求应用程序。对于6dof跟踪的每个关键帧,我们执行强大的单眼深度估计,具有多视图半全局匹配方法,然后进行深度细化后处理。所提出的网格生成模块将每个估计的关键帧深度映射递增到在线密集的表面网格中,这对于实现诸如闭塞和碰撞的逼真AR效应是有用的。我们验证了两个中档移动平台上的实时重建结果。定量和定性评估的实验证明了所提出的单眼3D重建系统的有效性,它可以处理虚拟物体和真实场景之间的闭塞和碰撞,以实现现实的AR效果。

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