Paper Info
Title
Camera-Based Detection and Removal of Shadows from Interactive Multiprojector Displays
Abstract
Front-projection displays are a cost-effective and increasingly popular method for large format visualization and immersive rendering of virtual models. New approaches to projector tiling, automatic calibration, and color balancing have made multiprojector display systems feasible without undue infrastructure changes and maintenance. As a result, front-projection displays are being used to generate seamless, visually immersive worlds for virtual reality and visualization applications with reasonable cost and maintenance overhead. However, these systems suffer from a fundamental problem: Users and other objects in the environment can easily and inadvertently block projectors, creating shadows on the displayed image. Shadows occlude potentially important information and detract from the sense of presence an immersive display may have conveyed. We introduce a technique that detects and corrects shadows in a multiprojector display while it is in use. Cameras observe the display and compare observations with an expected image to detect shadowed regions. These regions are transformed to the appropriate projector frames, where corresponding pixel values are increased and/or attenuated. In display regions where more than one projector contributes to the image, shadow regions are eliminated.
Year
DOI
Venue
2004
10.1109/TVCG.2004.1272728
IEEE Trans. Vis. Comput. Graph.
Keywords
Field
DocType
computational geometry,virtual reality,cost effectiveness,data visualisation,shadows,camera calibration
Computer vision,Shadow,Data visualization,Virtual reality,Computer graphics (images),Visualization,Computer science,Projector,Camera resectioning,Artificial intelligence,Pixel,Rendering (computer graphics)
Journal
Volume
Issue
ISSN
10
3
1077-2626
Citations 
PageRank 
References 
20
1.25
18
Authors
3
Name
Order
Citations
PageRank
Christopher Jaynes124520.92
Stephen B. Webb2717.05
R. Matt Steele3866.83