%0 Conference Paper %1 tredinnick2015experiencing %A Tredinnick, Ross %A Broecker, Markus %A Ponto, Kevin %B 2015 IEEE Virtual Reality (VR) %D 2015 %K VR gameengine immersive pointclouds %P 297-298 %R 10.1109/VR.2015.7223413 %T Experiencing interior environments: New approaches for the immersive display of large-scale point cloud data %U https://ieeexplore.ieee.org/document/7223413 %X This document introduces a new application for rendering massive LiDAR point cloud data sets of interior environments within highresolution immersive VR display systems. Overall contributions are: to create an application which is able to visualize large-scale point clouds at interactive rates in immersive display environments, to develop a flexible pipeline for processing LiDAR data sets that allows display of both minimally processed and more rigorously processed point clouds, and to provide visualization mechanisms that produce accurate rendering of interior environments to better understand physical aspects of interior spaces. The work introduces three problems with producing accurate immersive rendering of Li-DAR point cloud data sets of interiors and presents solutions to these problems. Rendering performance is compared between the developed application and a previous immersive LiDAR viewer.

@inproceedings{tredinnick2015experiencing, abstract = {This document introduces a new application for rendering massive LiDAR point cloud data sets of interior environments within highresolution immersive VR display systems. Overall contributions are: to create an application which is able to visualize large-scale point clouds at interactive rates in immersive display environments, to develop a flexible pipeline for processing LiDAR data sets that allows display of both minimally processed and more rigorously processed point clouds, and to provide visualization mechanisms that produce accurate rendering of interior environments to better understand physical aspects of interior spaces. The work introduces three problems with producing accurate immersive rendering of Li-DAR point cloud data sets of interiors and presents solutions to these problems. Rendering performance is compared between the developed application and a previous immersive LiDAR viewer.}, added-at = {2022-12-09T12:36:43.000+0100}, author = {Tredinnick, Ross and Broecker, Markus and Ponto, Kevin}, biburl = {https://www.bibsonomy.org/bibtex/2a4e10d48b99708abf52b0211483f7411/abernstetter}, booktitle = {2015 IEEE Virtual Reality (VR)}, description = {Experiencing interior environments: New approaches for the immersive display of large-scale point cloud data | IEEE Conference Publication | IEEE Xplore}, doi = {10.1109/VR.2015.7223413}, interhash = {b26b8238ccae9b5c8a100b4c0f68cc2e}, intrahash = {a4e10d48b99708abf52b0211483f7411}, issn = {2375-5334}, keywords = {VR gameengine immersive pointclouds}, month = {March}, pages = {297-298}, timestamp = {2022-12-09T12:36:43.000+0100}, title = {Experiencing interior environments: New approaches for the immersive display of large-scale point cloud data}, url = {https://ieeexplore.ieee.org/document/7223413}, year = 2015 }