Efficient articulated trajectory reconstruction using dynamic programming and filters
Valmadre, Jack, Zhu, Yingying, Sridharan, Sridha, & Lucey, Simon (2012) Efficient articulated trajectory reconstruction using dynamic programming and filters. In Computer Vision – ECCV 2012, Springer, Florence, Italy, pp. 72-85.
This paper considers the problem of reconstructing the motion of a 3D articulated tree from 2D point correspondences subject to some temporal prior. Hitherto, smooth motion has been encouraged using a trajectory basis, yielding a hard combinatorial problem with time complexity growing exponentially in the number of frames. Branch and bound strategies have previously attempted to curb this complexity whilst maintaining global optimality. However, they provide no guarantee of being more efficient than exhaustive search. Inspired by recent work which reconstructs general trajectories using compact high-pass filters, we develop a dynamic programming approach which scales linearly in the number of frames, leveraging the intrinsically local nature of filter interactions. Extension to affine projection enables reconstruction without estimating cameras.
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|Item Type:||Conference Paper|
|Keywords:||articulated, trajectory, reconstruction, basis, filters|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Springer-Verlag Berlin Heidelberg|
|Copyright Statement:||Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com|
|Deposited On:||08 Apr 2013 01:20|
|Last Modified:||14 May 2015 09:02|
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