DocumentCode
594840
Title
Camera-less articulated trajectory reconstruction
Author
Yingying Zhu ; Valmadre, J. ; Lucey, Simon
Author_Institution
Univ. of Queensland, Brisbane, QLD, Australia
fYear
2012
fDate
11-15 Nov. 2012
Firstpage
841
Lastpage
844
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location
Tsukuba
ISSN
1051-4651
Print_ISBN
978-1-4673-2216-4
Type
conf
Filename
6460265
Link To Document