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.
Note: parts of our system are implemented in the browser based HD View,
which comes with example gigapixel images, code and instructions to get
your own gigapixel imagery online. Check out
http://research.microsoft.com/ivm/HDView.htm.
We will also have the full featured stand alone version of our viewer online soon.
Note: Some errors sneaked into the final version of our paper.
Check this errata document for details.
@article{KUDC07,
author = {Johannes Kopf and Matt Uyttendaele and Oliver Deussen and
Michael F. Cohen},
title = {Capturing and Viewing Gigapixel Images},
journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH 2007)},
year = {2007},
volume = {26},
number = {3},
pages = {to appear},
}
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