Robert T. Collins,
"Projective Reconstruction of Approximately Planar Scenes,"
in Interdisciplinary Computer Vision: An Exploration of
Diverse Applications, (21st AIPR Workshop, October 1992),
Jane Harmon, Editor, Proc.SPIE 1839, pp.174-185.
Abstract
The fundamental theorem of projective geometry states that
the transformation mapping coplanar points
from an object onto an image plane can be determined
given the correspondence between four or more
object points and their projections in the image.
This theorem can be used to predict where other features in
the object plane will appear in the image, and conversely,
to project new image features back onto the object plane.
In this paper we examine what happens when these mathematical
results are applied to real-world data containing random
sensor noise and deviations from coplanarity.
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