We present a system to capture and view “Gigapixel images”: very high resolution, high dynamic range, and wide angle imagery consisting of several billion pixels each. A specialized camera mount, in combination with an automated pipeline for alignment, exposure compensation, and stitching, provide the means to acquire Gigapixel images with a standard camera and lens. More importantly,
our novel viewer enables exploration of such images at interactive
rates over a network, while dynamically and smoothly interpolating the projection between perspective and curved projections, and
simultaneously modifying the tone-mapping to ensure an optimal
view of the portion of the scene being viewed.
%0 Journal Article
%1 kopf2007
%A Kopf, Johannes
%A Uyttendaele, Matt
%A Deussen, Oliver
%A Cohen, Michael F.
%D 2007
%J ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007)
%K HDR Microsoft gigapixel imaging panorama photo photography software
%N 3
%T Capturing and Viewing Gigapixel Images
%U http://johanneskopf.de/publications/gigapixel/paper/FinalPaper_0371.pdf
%V 26
%X We present a system to capture and view “Gigapixel images”: very high resolution, high dynamic range, and wide angle imagery consisting of several billion pixels each. A specialized camera mount, in combination with an automated pipeline for alignment, exposure compensation, and stitching, provide the means to acquire Gigapixel images with a standard camera and lens. More importantly,
our novel viewer enables exploration of such images at interactive
rates over a network, while dynamically and smoothly interpolating the projection between perspective and curved projections, and
simultaneously modifying the tone-mapping to ensure an optimal
view of the portion of the scene being viewed.
@article{kopf2007,
abstract = {We present a system to capture and view “Gigapixel images”: very high resolution, high dynamic range, and wide angle imagery consisting of several billion pixels each. A specialized camera mount, in combination with an automated pipeline for alignment, exposure compensation, and stitching, provide the means to acquire Gigapixel images with a standard camera and lens. More importantly,
our novel viewer enables exploration of such images at interactive
rates over a network, while dynamically and smoothly interpolating the projection between perspective and curved projections, and
simultaneously modifying the tone-mapping to ensure an optimal
view of the portion of the scene being viewed.},
added-at = {2007-08-11T12:12:01.000+0200},
author = {Kopf, Johannes and Uyttendaele, Matt and Deussen, Oliver and Cohen, Michael F.},
biburl = {https://www.bibsonomy.org/bibtex/23a61b370464df0b88b1a0996584b58d2/timo},
interhash = {b34e6c1d9dd77221d346dcfb9fb047fe},
intrahash = {3a61b370464df0b88b1a0996584b58d2},
journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007)},
keywords = {HDR Microsoft gigapixel imaging panorama photo photography software},
number = 3,
timestamp = {2007-08-11T12:16:31.000+0200},
title = {Capturing and Viewing Gigapixel Images},
url = {http://johanneskopf.de/publications/gigapixel/paper/FinalPaper_0371.pdf},
volume = 26,
year = 2007
}