Title :
Camera-less articulated trajectory reconstruction
Author :
Yingying Zhu ; Valmadre, J. ; Lucey, Simon
Author_Institution :
Univ. of Queensland, Brisbane, QLD, Australia
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.
Keywords :
discrete cosine transforms; image reconstruction; 2D point projection trajectories; 3D trajectory reconstruction; DCT; articulated lengths; camera motion; camera-less articulated trajectory reconstruction; discrete cosine transform; nonhuman articulated structures; Cameras; Discrete cosine transforms; Equations; Estimation; Humans; Image reconstruction; Trajectory;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4