High-quality indoor scene 3D reconstruction with RGB-D cameras:A brief review

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 highquality 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.