Capturing and Viewing Gigapixel Images

Johannes Kopf
University of Konstanz


Matt Uyttendaele
Microsoft Research


Oliver Deussen
University of Konstanz


Michael F. Cohen
Microsoft Research

Three views of a 1.5 Gigapixel Image


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 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.
    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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Gigapixel Images
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