Paper
11 November 2021 A systematic review of automated reconstruction of indoor scenes using Point Clouds
Author Affiliations +
Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760O (2021) https://doi.org/10.1117/12.2607018
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China
Abstract
Creating structured 3D modeling of indoor environment from captured data plays a vital role in applications such as indoor navigation and interior remodeling. The recent surge in indoor scene reconstruction from point cloud information has made substantial progress when dealing with the complexity and variability of the indoor environment but many open research problems remain. In this survey, a review of the existing methodologies in characterization of the input sources, reconstruction model along with the other components in the structured reconstruction pipeline is done. An overview of the reconstruction methodologies is summarized along with its effectiveness and limitations while also acknowledging future research directions and challenges for the purpose of promoting research interest.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sujitha Kurup and Archana Bhise "A systematic review of automated reconstruction of indoor scenes using Point Clouds", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760O (11 November 2021); https://doi.org/10.1117/12.2607018
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D modeling

Clouds

RGB color model

Data modeling

Visual process modeling

Visualization

Binary data

Back to Top