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Capturing and viewing gigapixel images
Author(s) -
Johannes Kopf,
Matt Uyttendaele,
Oliver Deußen,
Michael F. Cohen
Publication year - 2007
Publication title -
kops (university of konstanz)
Language(s) - English
Resource type - Conference proceedings
ISSN - 0730-0301
DOI - 10.1145/1275808.1276494
Subject(s) - image stitching , computer science , computer vision , artificial intelligence , high dynamic range , pipeline (software) , panorama , pixel , high dynamic range imaging , projection (relational algebra) , computer graphics (images) , perspective (graphical) , compensation (psychology) , lens (geology) , tone mapping , dynamic range , geology , psychology , algorithm , psychoanalysis , petroleum engineering , programming language
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.

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