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Enhanced Visual Realism by Incorporating Camera Image Effects
Abstract | ||||||
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In video see-through augmented reality (AR), virtual objects are
overlaid over digital video images. One particular problem of this
image mixing process is that the visual appearance of the computer
graphics differs strongly from the real background image. The reason
for this is that typical AR systems use fast but simple real-time
rendering techniques for displaying virtual objects. In this paper,
methods for reducing the impact of three effects which make virtual
and real objects easily distinguishable are presented. The first effect
is camera image noise, which is contained in the data delivered by
the image sensor used for capturing the real scene. The second effect
considered is edge aliasing, which makes distinguishing virtual
objects from real objects simple. Finally, we consider motion blur,
which is caused by the temporal integration of color intensities in
the image sensor during fast movements of the camera or observed
objects. In this paper, we present a system for generating a realistic simulation of image noise based on a new camera calibration step. Additionally, a rendering algorithm is introduced, which performs a smooth blending between the camera image and virtual objects at their boundary in order to reduce aliasing. Lastly, a rendering method is presented, which produces motion blur according to the current camera movement. The implementation of the new rendering techniques utilizes the programmability of modern graphics processing units (GPUs) and delivers real-time frame rates. | ||||||
Bibtex | ||||||
@INPROCEEDINGS{Fischer-2006-Enhanced,
AUTHOR = {J. Fischer and D. Bartz and W. Stra{\ss}er},
TITLE = {{Enhanced Visual Realism by Incorporating Camera Image Effects}},
BOOKTITLE = {{IEEE and ACM International Symposium on Mixed and Augmented Reality}},
YEAR = {2006},
PAGES = {205--208},
LOCATION = {Santa Barbara}
}
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Documents | ||||||
 Download paper (original copyright by IEEE) [PDF] Download presentation slides [PDF]For a complete description of the algorithm: Download associated technical report [PDF]
(see full reference)
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Video | ||||||
 Download high resolution video (17.8 MB) [DivX AVI] Video on YouTube [streaming, lower quality]
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Images: Results | ||||||
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