计算机科学
管道(软件)
计算机视觉
人工智能
RGB颜色模型
三维重建
纹理映射
迭代重建
计算
背景(考古学)
体素
可视化
计算机图形学(图像)
算法
生物
古生物学
程序设计语言
作者
Lei Han,Siyuan Gu,Dawei Zhong,Shuxue Quan,Lu Fang
标识
DOI:10.1109/tpami.2020.3021023
摘要
High-quality reconstruction of 3D geometry and texture plays a vital role in providing immersive perception of the real world. Additionally, online computation enables the practical usage of 3D reconstruction for interaction. We present an RGBD-based globally-consistent dense 3D reconstruction approach, where high-quality (i.e., the spatial resolution of the RGB image) texture patches are mapped on high-resolution ([Formula: see text]) geometric models online. The whole pipeline uses merely the CPU computing of a portable device. For real-time geometric reconstruction with online texturing, we propose to solve the texture optimization problem with a simplified incremental MRF solver in the context of geometric reconstruction pipeline using sparse voxel sampling strategy. An efficient reference-based color adjustment scheme is also proposed to achieve consistent texture patch colors under inconsistent luminance situations. Quantitative and qualitative experiments demonstrate that our online scheme achieves a realistic visualization of the environment with more abundant details, while taking fairly compact memory consumption and much lower computational complexity than existing solutions.
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