Standard
Gaussian-like spatial priors for articulated tracking. / Hauberg, Søren; Sommer, Stefan Horst; Pedersen, Kim Steenstrup.
Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. red. / Kostas Daniilidis; Petros Maragos; Nikos Paragios. Bind Part I Springer, 2010. s. 425-437 (Lecture notes in computer science; Nr. 6311).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Hauberg, S
, Sommer, SH & Pedersen, KS 2010,
Gaussian-like spatial priors for articulated tracking. i K Daniilidis, P Maragos & N Paragios (red),
Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. bind Part I, Springer, Lecture notes in computer science, nr. 6311, s. 425-437, 11th European Conference on Computer Vision, Heraklion, Grækenland,
05/09/2010.
https://doi.org/10.1007/978-3-642-15549-9_31APA
Hauberg, S.
, Sommer, S. H., & Pedersen, K. S. (2010).
Gaussian-like spatial priors for articulated tracking. I K. Daniilidis, P. Maragos, & N. Paragios (red.),
Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I (Bind Part I, s. 425-437). Springer. Lecture notes in computer science Nr. 6311
https://doi.org/10.1007/978-3-642-15549-9_31Vancouver
Hauberg S
, Sommer SH, Pedersen KS.
Gaussian-like spatial priors for articulated tracking. I Daniilidis K, Maragos P, Paragios N, red., Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. Bind Part I. Springer. 2010. s. 425-437. (Lecture notes in computer science; Nr. 6311).
https://doi.org/10.1007/978-3-642-15549-9_31Author
Hauberg, Søren ; Sommer, Stefan Horst ; Pedersen, Kim Steenstrup. / Gaussian-like spatial priors for articulated tracking. Computer Vision - ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I. red. / Kostas Daniilidis ; Petros Maragos ; Nikos Paragios. Bind Part I Springer, 2010. s. 425-437 (Lecture notes in computer science; Nr. 6311).
Bibtex
@inproceedings{1f18f530936a11df928f000ea68e967b,
title = "Gaussian-like spatial priors for articulated tracking",
abstract = "We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two similar Gaussian-like motion priors that are explicitly expressed spatially and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.",
author = "S{\o}ren Hauberg and Sommer, {Stefan Horst} and Pedersen, {Kim Steenstrup}",
year = "2010",
doi = "10.1007/978-3-642-15549-9_31",
language = "English",
isbn = "978-3-642-15548-2",
volume = "Part I",
series = "Lecture notes in computer science",
publisher = "Springer",
number = "6311",
pages = "425--437",
editor = "Kostas Daniilidis and Petros Maragos and Nikos Paragios",
booktitle = "Computer Vision - ECCV 2010",
address = "Switzerland",
note = "11th European Conference on Computer Vision, ECCV 2010 ; Conference date: 05-09-2010 Through 11-09-2010",
}
RIS
TY - GEN
T1 - Gaussian-like spatial priors for articulated tracking
AU - Hauberg, Søren
AU - Sommer, Stefan Horst
AU - Pedersen, Kim Steenstrup
N1 - Conference code: 11
PY - 2010
Y1 - 2010
N2 - We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two similar Gaussian-like motion priors that are explicitly expressed spatially and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.
AB - We present an analysis of the spatial covariance structure of an articulated motion prior in which joint angles have a known covariance structure. From this, a well-known, but often ignored, deficiency of the kinematic skeleton representation becomes clear: spatial variance not only depends on limb lengths, but also increases as the kinematic chains are traversed. We then present two similar Gaussian-like motion priors that are explicitly expressed spatially and as such avoids any variance coming from the representation. The resulting priors are both simple and easy to implement, yet they provide superior predictions.
U2 - 10.1007/978-3-642-15549-9_31
DO - 10.1007/978-3-642-15549-9_31
M3 - Article in proceedings
SN - 978-3-642-15548-2
VL - Part I
T3 - Lecture notes in computer science
SP - 425
EP - 437
BT - Computer Vision - ECCV 2010
A2 - Daniilidis, Kostas
A2 - Maragos, Petros
A2 - Paragios, Nikos
PB - Springer
T2 - 11th European Conference on Computer Vision
Y2 - 5 September 2010 through 11 September 2010
ER -
