Global temporal registration of multiple non-rigid surface sequences
Abstract
In this paper we consider the problem of aligning multiple non-rigid surface mesh sequences into a single temporally consistent representation of the shape and motion. A global alignment graph structure is introduced which uses shape similarity to identify frames for inter-sequence registration. Graph optimisation is performed to minimise the total non-rigid deformation required to register the input sequences into a common structure. The resulting global alignment ensures that all input sequences are resampled with a common mesh structure which preserves the shape and temporal correspondence. Results demonstrate temporally consistent representation of several public databases of mesh sequences for multiple people performing a variety of motions with loose clothing and hair.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There are methods that focus on global registration in terms of the alignment order of multiple sequences to reduce accumulation errors.
“There are methods that focus on global registration in terms of the alignment order of (multiple) sequences to reduce accumulation errors [92].”
From Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid (2013) · cites this paper as [92]
Cites
A survey of advances in vision-based human motion capture and analysis
Moeslund, T. B., Hilton, A., & Krüger, V. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.002 · Cited by 2,546 · see citing works
Self-citationDeformable models in medical image analysis: a survey
McInerney, T., & Terzopoulos, D. (1996) · Medical Image Analysis · doi:10.1016/s1361-8415(96)80007-7 · Cited by 1,921 · see citing works
Sorkine‐Hornung, O., Cohen-Or, D., Lipman, Y., Alexa, M., Rössl, C., & Seidel, H. (2004) · Symposium on Geometry Processing · doi:10.1145/1057432.1057456 · Cited by 1,169 · see citing works
Articulated mesh animation from multi-view silhouettes
Vlasic, D., Baran, I., Matusik, W., & Popović, J. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360696 · Cited by 618 · see citing works
Performance capture from sparse multi-view video
de Aguiar, E., Stoll, C., Theobalt, C., Ahmed, N., Seidel, H., & Thrun, S. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360697 · Cited by 535 · see citing works
Detailed Human Shape and Pose from Images
Bălan, A. O., Sigal, L., Black, M. J., Davis, J., & Haussecker, H. W. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383340 · Cited by 307 · see citing works
Vedula, S., Rander, P. W., Collins, R. T., et al. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.63 · Cited by 284 · see citing works
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
Pons, J.-P., Keriven, R., & Faugeras, O. D. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-8671-5 · Cited by 279 · see citing works
Combined discriminative and generative articulated pose and non-rigid shape estimation
Sigal, L., Balan, A., & Black, M. J. (2007) · Cited by 192 · see citing works
Articulated mesh animation from multi-view silhouettes
Vlasic, D., Baran, I., Matusik, W., & Popović, J. (2008) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1399504.1360696 · Cited by 188 · see citing works
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation
Bronstein, A. M., Bronstein, M. M., & Kimmel, R. (2007) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2007.1041 · Cited by 158 · see citing works
Dense non-rigid surface registration using high-order graph matching
Zeng, Y., Wang, C., Wang, Y., Gu, X. D., Samaras, D., & Nikos Paragios, A. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5540189 · Cited by 151 · see citing works
Surface Deformation Models for Nonrigid 3D Shape Recovery
Salzmann, M., Pilet, J., Ilić, S., et al. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1080 · Cited by 132 · see citing works
Carceroni, R. L., & Kutulakos, K. N. (2002) · International Journal of Computer Vision · doi:10.1023/a:1020145606604 · Cited by 117 · see citing works
Multilinear pose and body shape estimation of dressed subjects from image sets
Hasler, N., Ackermann, H., Rosenhahn, B., Thormählen, T., & Seidel, H. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539853 · Cited by 116 · see citing works
Probabilistic Deformable Surface Tracking from Multiple Videos
Cagniart, C., Boyer, E., & Ilić, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15561-1_24 · Cited by 107 · see citing works
Correspondence labelling for wide-timeframe free-form surface matching
Starck, J., & Hilton, A. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409108 · Cited by 95 · see citing works
Self-citationShape Similarity for 3D Video Sequences of People
Huang, P. F., Hilton, A., & Starck, J. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0319-9 · Cited by 92 · see citing works
Self-citationFree-form mesh tracking: A patch-based approach
Cagniart, C., Boyer, E., & Ilić, S. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539814 · Cited by 91 · see citing works
Video-based reconstruction of animatable human characters
Stoll, C., Gall, J., de Aguiar, E., et al. (2010) · ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia) · doi:10.1145/1866158.1866161 · Cited by 90 · see citing works
Video-based reconstruction of animatable human characters
Stoll, C., Gall, J., de Aguiar, E., Thrun, S., & Theobalt, C. (2010) · ACM Transactions on Graphics · doi:10.1145/1882261.1866161 · Cited by 89 · see citing works
Dense 3D motion capture for human faces
Furukawa, Y., & Ponce, J. (2009) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2009.5206868 · Cited by 88 · see citing works
Dynamic surface matching by geodesic mapping for 3D animation transfer
Tung, T., & Matsuyama, T. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539806 · Cited by 47 · see citing works
Iterative Deformable Surface Tracking in Multi-View Setups
Cagniart, C., Boyer, E., & Ilić, S. (2010) · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
Tam, G. K. L., Cheng, Z.-Q., Lai, Y.-K., Langbein, F. C., Liu, Y., Marshall, D., Martin, R. R., Sun, X.-F., & Rosin, P. L. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.310 · Cited by 679 · see citing works
- Authors
- Huang, P., Budd, C., & Hilton, A.
- Affiliations
- University of Surrey (GB)
- ORCID
- Hilton, Adrian
- Venue
- CVPR 2011
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 3473-3480
- OpenAlex
- W1981314177
- Cited by
- 36
- References
- 24
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2014: 2 · 2013: 6 · 2012: 9
- FWCI
- 11.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/F02827X/1)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Engineering › Control and Systems Engineering › Human Motion and Animation
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- non-rigid registration, temporal alignment, shape similarity, human motion capture
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
