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典型文献
High-quality indoor scene 3D reconstruction with RGB-D cameras:A brief review
文献摘要:
High-quality 3D reconstruction is an important topic in computer graphics and computer vision with many applications,such as robotics and augmented reality.The advent of consumer RGB-D cameras has made a profound advance in indoor scene reconstruction.For the past few years,researchers have spent significant effort to develop algorithms to capture 3D models with RGB-D cameras.As depth images produced by consumer RGB-D cameras are noisy and incomplete when surfaces are shiny,bright,transparent,or far from the camera,obtaining high-quality 3D scene models is still a challenge for existing systems.We here review high-quality 3D indoor scene reconstruction methods using consumer RGB-D cameras.In this paper,we make comparisons and analyses from the following aspects:(ⅰ)depth processing methods in 3D reconstruction are reviewed in terms of enhancement and completion,(ⅱ)ICP-based,feature-based,and hybrid methods of camera pose estimation methods are reviewed,and(ⅲ)surface reconstruction methods are reviewed in terms of surface fusion,optimization,and completion.The performance of state-of-the-art methods is also compared and analyzed.This survey will be useful for researchers who want to follow best practices in designing new high-quality 3D reconstruction methods.
文献关键词:
作者姓名:
Jianwei Li;Wei Gao;Yihong Wu;Yangdong Liu;Yanfei Shen
作者机构:
School of Sports Engineering,Beijing Sports University,Beijing 100084,China;National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100080,China;University of Chinese Academy of Sciences,Beijing 100049,China;Huawei Technologies Co.,Ltd.,Beijing 100085,China
引用格式:
[1]Jianwei Li;Wei Gao;Yihong Wu;Yangdong Liu;Yanfei Shen-.High-quality indoor scene 3D reconstruction with RGB-D cameras:A brief review)[J].计算可视媒体(英文),2022(03):369-393
A类:
B类:
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AB值:
0.546115
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