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<title>Mapping perceived depth to regions of interest in stereoscopic images</title>
Author(s) -
Nicolas S. Holliman
Publication year - 2004
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.525853
Subject(s) - stereoscopy , computer science , computer vision , artificial intelligence , usable , depth map , depth perception , computer graphics (images) , visualization , representation (politics) , range (aeronautics) , feature (linguistics) , image (mathematics) , perception , multimedia , materials science , philosophy , composite material , neuroscience , law , biology , politics , political science , linguistics
The usable perceived depth range of a stereoscopic 3D display is limited by human factors considerations to a\uddefined range around the screen plane. There is therefore a need in stereoscopic image creation to map depth\udfrom the scene to a target display without exceeding these limits. Recent image capture methods provide precise\udcontrol over this depth mapping but map a single range of scene depth as a whole and are unable to give\udpreferential stereoscopic representation to a particular region of interest in the scene.\udA new approach to stereoscopic image creation is described that allows a defined region of interest in scene\uddepth to have an improved perceived depth representation compared to other regions of the scene. For example\udin a game this may be the region of depth around a game character, or in a scientific visualization the region\udaround a particular feature of interest.\udTo realise this approach we present a novel algorithm for stereoscopic image capture and describe an implementation\udfor the widely used ray-tracing package POV-Ray. Results demonstrate how this approach provides\udcontent creators with improved control over perceived depth representation in stereoscopic images

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