%0 Journal Article %1 gupta2022contentadaptive %A Gupta, Aryaman %A Incardona, Pietro %A Hunt, Paul %A Reina, Guido %A Frey, Steffen %A Gumhold, Stefan %A Günther, Ulrik %A Sbalzarini, Ivo %D 2022 %K imported topic_lifescience topic_visualcomputing xack %R 10.48550/arXiv.2206.14503 %T Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

@article{gupta2022contentadaptive, added-at = {2024-11-14T13:23:29.000+0100}, author = {Gupta, Aryaman and Incardona, Pietro and Hunt, Paul and Reina, Guido and Frey, Steffen and Gumhold, Stefan and Günther, Ulrik and Sbalzarini, Ivo}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2103112f9028c89c37ce80ab8e71b5fbe/scadsfct}, doi = {10.48550/arXiv.2206.14503}, interhash = {6a643882f33ed09bed62f9d667f6b78e}, intrahash = {103112f9028c89c37ce80ab8e71b5fbe}, keywords = {imported topic_lifescience topic_visualcomputing xack}, month = {06}, timestamp = {2025-07-29T10:29:54.000+0200}, title = {Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data}, year = 2022 }