Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
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Biggs et al. built on SMAL for 3D shape and motion of dogs from video and for recovery of dog shape and pose across many breeds.
“Biggs et al. built on this work for 3D shape and motion of dogs from video108 and for recovery of dog shape and pose across many different breeds109.”
From Perspectives in machine learning for wildlife conservation (2022) · cites this paper as [109]
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“[34] made a significant contribution to 3D animal reconstruction research by releasing SMAL, a deformable 3D quadruped model (analagous to SMPL [23] for human reconstruction) from 41 scans of artist-designed toy figurines.”
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Perspectives in machine learning for wildlife conservation
Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., Mathis, A., Mathis, M. W., van Langevelde, F., Burghardt, T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-27980-y · Cited by 740 · see citing works
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
Joska, D., Clark, L., Muramatsu, N., Jericevich, R., Nicolls, F., Mathis, A., Mathis, M. W., & Patel, A. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra48506.2021.9561338 · Cited by 66 · see citing works
Birds of a Feather: Capturing Avian Shape Models from Images
Wang, Y., Kolotouros, N., Daniilidis, K., & Badger, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.01450 · Cited by 28 · see citing works
- Authors
- Biggs, B., Boyne, O., Charles, J., Fitzgibbon, A., & Cipolla, R.
- Affiliations
- University of Cambridge (GB)
- Microsoft (United States) (US)
- Corresponding author
- Biggs, Benjamin
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 195-211
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3044927688
- Cited by
- 107
- References
- 32
- Citations by year
- 2026: 16 · 2025: 13 · 2024: 19 · 2023: 28 · 2022: 14 · 2021: 17
- FWCI
- 4.55
- Type
- conference paper
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- arXiv (Cornell University)
- Apollo
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- dogs, 3D pose estimation, 3D shape reconstruction, expectation-maximization algorithm, monocular images, in-the-wild images, occlusion
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