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Towards Accurate Marker-Less Human Shape and Pose Estimation over Time

Open access
Huang, Yinghao, Bogo, Federica, Lassner, Christoph, Kanazawa, Angjoo, Gehler, Peter V., Romero, Javier, Akhter, Ijaz, Black, Michael J.·2017·2017 International Conference on 3D Vision (3DV)

Abstract

Existing markerless motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, limiting their application scenarios. Here we present a fully automatic method that, given multi-view videos, estimates 3D human pose and body shape. We take the recently proposed SMPLify method \cite{bogo2016keep} as the base method and extend it in several ways. First we fit a 3D human body model to 2D features detected in multi-view images. Second, we use a CNN method to segment the person in each image and fit the 3D body model to the contours, further improving accuracy. Third we utilize a generic and robust DCT temporal prior to handle the left and right side swapping issue sometimes introduced by the 2D pose estimator. Validation on standard benchmarks shows our results are comparable to the state of the art and also provide a realistic 3D shape avatar. We also demonstrate accurate results on HumanEva and on challenging monocular sequences of dancing from YouTube.

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Metadata

Authors
Huang, Y., Bogo, F., Lassner, C., Kanazawa, A., Gehler, P. V., Romero, J., Akhter, I., & Black, M. J.
Venue
2017 International Conference on 3D Vision (3DV)
Publisher
IEEE
Published
2017-10
Pages
421-430
OpenAlex
W2963355540
Cited by
207
References
4
FWCI
5.50
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Towards Accurate Marker-Less Human Shape and Pose Estimation over Time. https://app.cochat.ai/papers/10.1109/3dv.2017.00055
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Huang, Y., Bogo, F., Lassner, C., Kanazawa, A., Gehler, P. V., Romero, J., Akhter, I., & Black, M. J. (2017). Towards Accurate Marker-Less Human Shape and Pose Estimation over Time. 2017 International Conference on 3D Vision (3DV). https://doi.org/10.1109/3dv.2017.00055

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