Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Standard

Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. / Li, Zhongguo; Heyden, Anders; Oskarsson, Magnus.

Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. red. / Michael Felsberg; Per-Erik Forssén; Jonas Unger; Ida-Maria Sintorn. Springer, 2019. s. 336-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11482 LNCS).

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Harvard

Li, Z, Heyden, A & Oskarsson, M 2019, Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. i M Felsberg, P-E Forssén, J Unger & I-M Sintorn (red), Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11482 LNCS, Springer, s. 336-347, 21st Scandinavian Conference on Image Analysis, SCIA 2019, Norrköping, Sverige, 2019/06/11. https://doi.org/10.1007/978-3-030-20205-7_28

APA

Li, Z., Heyden, A., & Oskarsson, M. (2019). Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. I M. Felsberg, P-E. Forssén, J. Unger, & I-M. Sintorn (Red.), Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings (s. 336-347). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11482 LNCS). Springer. https://doi.org/10.1007/978-3-030-20205-7_28

CBE

Li Z, Heyden A, Oskarsson M. 2019. Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. Felsberg M, Forssén P-E, Unger J, Sintorn I-M, redaktörer. I Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. Springer. s. 336-347. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-20205-7_28

MLA

Li, Zhongguo, Anders Heyden, och Magnus Oskarsson "Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views"., Felsberg, Michael och Forssén, Per-Erik Unger, Jonas Sintorn, Ida-Maria (redaktörer). Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019, 336-347. https://doi.org/10.1007/978-3-030-20205-7_28

Vancouver

Li Z, Heyden A, Oskarsson M. Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. I Felsberg M, Forssén P-E, Unger J, Sintorn I-M, redaktörer, Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. Springer. 2019. s. 336-347. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-20205-7_28

Author

Li, Zhongguo ; Heyden, Anders ; Oskarsson, Magnus. / Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views. Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. redaktör / Michael Felsberg ; Per-Erik Forssén ; Jonas Unger ; Ida-Maria Sintorn. Springer, 2019. s. 336-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

RIS

TY - GEN

T1 - Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views

AU - Li, Zhongguo

AU - Heyden, Anders

AU - Oskarsson, Magnus

PY - 2019

Y1 - 2019

N2 - Human body pose and shape estimation is an important and challenging task in computer vision. This paper presents a novel method for estimating 3D human body pose and shape from several RGB images, using detected joint positions in the images and based on a parametric human body model. Firstly, the 2D joint points of the RGB images are estimated using a deep neural network, which provides a strong prior on the pose. Then, an energy function is constructed based on the 2D joint points in the RGB images and a parametric human body model. By minimizing the energy function, the pose, shape and camera parameters are obtained. The main contribution of the method over previous work, is that the optimization is based on several images simultaneously using only estimated joint positions in the images. We have performed experiments on both synthetic and real image data-sets, that demonstrate that our method can reconstruct 3D human bodies with better accuracy than previous single view methods.

AB - Human body pose and shape estimation is an important and challenging task in computer vision. This paper presents a novel method for estimating 3D human body pose and shape from several RGB images, using detected joint positions in the images and based on a parametric human body model. Firstly, the 2D joint points of the RGB images are estimated using a deep neural network, which provides a strong prior on the pose. Then, an energy function is constructed based on the 2D joint points in the RGB images and a parametric human body model. By minimizing the energy function, the pose, shape and camera parameters are obtained. The main contribution of the method over previous work, is that the optimization is based on several images simultaneously using only estimated joint positions in the images. We have performed experiments on both synthetic and real image data-sets, that demonstrate that our method can reconstruct 3D human bodies with better accuracy than previous single view methods.

KW - Camera

KW - Human body

KW - Parametric model

KW - Pose and shape estimation

KW - RGB images

U2 - 10.1007/978-3-030-20205-7_28

DO - 10.1007/978-3-030-20205-7_28

M3 - Paper in conference proceeding

AN - SCOPUS:85066912400

SN - 9783030202040

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 336

EP - 347

BT - Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings

A2 - Felsberg, Michael

A2 - Forssén, Per-Erik

A2 - Unger, Jonas

A2 - Sintorn, Ida-Maria

PB - Springer

T2 - 21st Scandinavian Conference on Image Analysis, SCIA 2019

Y2 - 11 June 2019 through 13 June 2019

ER -