Camera-less Articulated Trajectory Reconstruction
Conference Paper, Proceedings of 21st International Conference on Pattern Recognition (ICPR '12), pp. 841 - 844, November, 2012
Abstract
In this paper, we address the problem of reconstructing 3D trajectories given only 2D point projection trajectories of an articulated structure. Hitherto, most applications of articulated trajectory reconstruction require: (i) relative lengths, and (ii) camera motion. We propose a novel extension that allows us to in many circumstances circumvent these limitations. Of particular note is our characterisation theoretically and demonstration empirically how agnostic one be to camera motion when using a DCT basis. Practical reconstructions of non-human articulated structures are depicted (e.g. koala, sea snake, tasmanian tiger) where articulated lengths and camera motion are unknown.
BibTeX
@conference{Zhu-2012-17103,author = {Yingying Zhu and Jack L. Valmadre and Simon Lucey},
title = {Camera-less Articulated Trajectory Reconstruction},
booktitle = {Proceedings of 21st International Conference on Pattern Recognition (ICPR '12)},
year = {2012},
month = {November},
pages = {841 - 844},
}
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