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2008 IEEE Conference on Computer Vision and Pattern Recognition (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2242-5
pp: 1-8
Ankur Datta , Robotics Institute, Carnegie Mellon University, USA
Yaser Sheikh , Robotics Institute, Carnegie Mellon University, USA
Takeo Kanade , Robotics Institute, Carnegie Mellon University, USA
ABSTRACT
In this paper, we describe the explicit application of articulation constraints for estimating the motion of a system of planes. We relate articulations to the relative homography between planes and show that for affine cameras, these articulations translate into linear equality constraints on a linear least squares system, yielding accurate and numerically stable estimates of motion. The global nature of motion estimation allows us to handle areas where there is limited texture information and areas that leave the field of view. Our results demonstrate the accuracy of the algorithm in a variety of cases such as human body tracking, motion estimation of rigid, piecewise planar scenes and motion estimation of triangulated meshes.
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CITATION

T. Kanade, A. Datta and Y. Sheikh, "Linear motion estimation for systems of articulated planes," 2008 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Anchorage, AK, USA, 2008, pp. 1-8.
doi:10.1109/CVPR.2008.4587579
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