Model-based 2D&3D dominant motion estimation for mosaicing andvideo representation
Sawhney, H.S.; Ayer, S.; Gorkani, M.
Computer Vision, 1995. Proceedings., Fifth International Conference on
Volume , Issue , 20-23 Jun 1995 Page(s):583 - 590
Digital Object Identifier 10.1109/ICCV.1995.466886
Summary:It is fairly common in video sequences that a mostly fixed
background (scene) is imaged with or without objects. The dominant
background changes in the image plane mostly due to camera operations
and motion (zoom, pan, tilt, track etc.). We address the problem of
computation of the dominant image transformation over time and
demonstrate how this can be effectively used for efficient video
representation through video mosaicing and image registration. We
formulate the problem of dominant component estimation as that of model
based robust estimation using M estimators with direct, multi resolution
methods. In addition to 2D affine and plane projective models, that have
been used in the past for describing image motion using direct methods,
we also employ a true 3D model of motion and scene structure imaged with
uncalibrated cameras. This model parameterizes the image motion as that
due to a planar component and a parallax component. For rigid 3D scenes
imaged under camera motion only, least squares (LS) methods with the
plane and parallax parameterization are also presented. Furthermore, in
the context of robust estimation, in contrast with previous approaches
for similar problems, our algorithm employs an automatic computation of
a scale parameter that is crucial in rejecting the non dominant
components as outliers
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