A relaxation method to articulated trajectory reconstruction from monocular image sequence
Date
2014
Authors
Li, B.
Dai, Y.
He, M.
Van Den Hengel, A.
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Conference paper
Citation
Proceedings: 2014 IEEE China Summit & International Conference on Signal and Information Processing, 2014, pp.389-393
Statement of Responsibility
Bo Li, Yuchao Dai, Mingyi He, Anton van den Hengel
Conference Name
2nd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP 2014) (9 Jul 2014 - 13 Jul 2014 : Xi'an, China)
Abstract
In this paper, we present a novel method for articulated trajectory reconstruction from a monocular image sequence. We propose a relaxation-based objective function, which utilises both smoothness and geometric constraints, posing articulated trajectory reconstruction as a non-linear optimization problem. The main advantage of this approach is that it remains the re-constructive power of the original algorithm, while improving its robustness to the inevitable noise in the data. Furthermore, we present an effective approach to estimating the parameters of our objective function. Experimental results on the CMU motion capture dataset show that our proposed algorithm is effective.
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Dissertation Note
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© 2014 IEEE