The space of human body shapes: reconstruction and parameterization from range scans
Abstract
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the degrees of freedom are an affine transformation at each template vertex. The objective function is a weighted combination of three measures: proximity of transformed vertices to the range data, similarity between neighboring transformations, and proximity of sparse markers at corresponding locations on the template and target surface. We solve for the transformations with a non-linear optimizer, run at two resolutions to speed convergence. We demonstrate reconstruction and consistent parameterization of 250 human body models. With this parameterized set, we explore a variety of applications for human body modeling, including: morphing, texture transfer, statistical analysis of shape, model fitting from sparse markers, feature analysis to modify multiple correlated parameters (such as the weight and height of an individual), and transfer of surface detail and animation controls from a template to fitted models.
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After a few steps, more emphasis is put on the data term because the original shape has been deformed close enough to the aligning shape.
“After a few steps, more emphasis is put on the data term because the original shape has been deformed to lie close enough to the aligning shape [29], [30].”
From Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid (2013) · cites this paper as [29]
Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733 · see citing works
A morphable model for the synthesis of 3D faces
Blanz, V., & Vetter, T. R. (1999) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/311535.311556 · Cited by 4,695 · see citing works
Zhu, C., Byrd, R. H., Lu, P., & Nocedal, J. M. (1997) · ACM Transactions on Mathematical Software · doi:10.1145/279232.279236 · Cited by 3,474 · see citing works
Reconstruction and representation of 3D objects with radial basis functions
Carr, J. C., Beatson, R. K., Cherrie, J. B., Mitchell, T. J., Fright, W. R., McCallum, B. C., & Evans, T. R. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383266 · Cited by 1,852 · cited 1× · see citing works
“Their method and other recent, direct hole-free reconstruction methods [Carr et al. 2001; Whitaker 1998] have the nice feature that holes are filled in a smooth manner.”
MethodZippered polygon meshes from range images
Turk, G., & Levoy, M. (1994) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/192161.192241 · Cited by 1,340 · see citing works
Lewis, J. P., Cordner, M., & Fong, N. (2000) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/344779.344862 · Cited by 870 · see citing works
The varieties of human physique.
Sheldon, W. H., Ss, S., & Tucker, W. B. (1940) · Cited by 764 · see citing works
Lee, A. W. F., Sweldens, W., Schröder, P., Cowsar, L. C., & Dobkin, D. (1998) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/280814.280828 · Cited by 626 · see citing works
A Level-Set Approach to 3D Reconstruction from Range Data
Whitaker, R. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008036829907 · Cited by 520 · see citing works
Filling holes in complex surfaces using volumetric diffusion
Davis, J., Marschner, S. R., Garr, M., & Levoy, M. (2003) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/tdpvt.2002.1024098 · Cited by 451 · see citing works
Displaced subdivision surfaces
Lee, A., Moreton, H., & Hoppe, H. (2000) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/344779.344829 · Cited by 349 · see citing works
An anthropometric face model using variational techniques
DeCarlo, D., Metaxas, D., & Stone, M. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280823 · Cited by 327 · see citing works
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines
Szeliski, R., & Lavallé, S. (1996) · International Journal of Computer Vision · doi:10.1007/bf00055001 · Cited by 300 · see citing works
Sloan, P. J., Rose, C. F., & Cohen, M. F. (2001) · ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) · doi:10.1145/364338.364382 · Cited by 277 · see citing works
Articulated body deformation from range scan data
Allen, B., Curless, B., & Popović, Z. (2002) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/566570.566626 · Cited by 272 · see citing works
Self-citationConsistent mesh parameterizations
Praun, E., Sweldens, W., & Schröder, P. (2001) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/383259.383277 · Cited by 261 · see citing works
Articulated body deformation from range scan data
Allen, B., Curless, B., & Popović, Z. (2002) · ACM Transactions on Graphics · doi:10.1145/566654.566626 · Cited by 179 · see citing works
Self-citationHead shop: Generating animated head models with anatomical structure
Kähler, K., Haber, J., Yamauchi, H., Seidel, H., & Spencer, S. N. (2002) · Max Planck Institute for Plasma Physics · Cited by 160 · see citing works
Kähler, K., Haber, J., Yamauchi, H., & Seidel, H. (2002) · ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) · doi:10.1145/545261.545271 · Cited by 138 · see citing works
Modeling and Rendering for Realistic Facial Animation
Marschner, S. R., Guenter, B. K., & Raghupathy, S. (2000) · Eurographics · doi:10.1007/978-3-7091-6303-0_21 · Cited by 114 · see citing works
Rigid and affine registration of smooth surfaces using differential properties
Feldmar, J., & Ayache, N. (1994) · Lecture notes in computer science · doi:10.1007/bfb0028371 · Cited by 54 · see citing works
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines
Szeliski, R., & Lavallée, S. (2002) · doi:10.1109/bia.1994.315860 · Cited by 50 · see citing works
From 3D shape capture of animated models
Hilton, A., Starck, J., & Collins, G. (2005) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/tdpvt.2002.1024069 · Cited by 33 · see citing works
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Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., & J, B. M. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818013 · Cited by 3,734 · see citing works
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
SCAPE: shape completion and animation of people
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073207 · Cited by 1,489 · see citing works
A 3D Face Model for Pose and Illumination Invariant Face Recognition
Paysan, P., Knothe, R., Amberg, B., Romdhani, S., & Vetter, T. R. (2009) · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · doi:10.1109/avss.2009.58 · Cited by 1,325 · see citing works
AMASS: Archive of Motion Capture As Surface Shapes
Mahmood, N., Ghorbani, N., Troje, N. F., Pons-Moll, G., & Black, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00554 · Cited by 1,323 · see citing works
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Li, T., Bolkart, T., Black, M. J., Li, H., & Romero, J. (2017) · ACM Transactions on Graphics · doi:10.1145/3130800.3130813 · Cited by 1,226 · see citing works
Deformation transfer for triangle meshes
Sumner, R. W., & Popović, J. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015736 · Cited by 1,059 · see citing works
Romero (2017) · doi:10.1145/3130800.3130883 · Cited by 1,056 · see citing works
FaceWarehouse: A 3D Facial Expression Database for Visual Computing
Cao, C., Weng, Y., Zhou, S., Tong, Y., & Zhou, K. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.249 · Cited by 1,023 · see citing works
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Tompson, J., Stein, M., LeCun, Y., & Perlin, K. (2014) · ACM Transactions on Graphics · doi:10.1145/2629500 · Cited by 793 · see citing works
Optimal Step Nonrigid ICP Algorithms for Surface Registration
Amberg, B., Romdhani, S., & Vetter, T. R. (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.2007.383165 · Cited by 779 · see citing works
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
FAUST: Dataset and Evaluation for 3D Mesh Registration
Bogo, F., Romero, J., Loper, M., & Black, M. J. (2014) · 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.2014.491 · Cited by 688 · see citing works
Colyer, S., Evans, M., Cosker, D. P., & Salo, A. (2018) · Sports Medicine - Open · doi:10.1186/s40798-018-0139-y · Cited by 635 · see citing works
Mertens, T., Kautz, J., & Reeth, F. V. (2007) · Pacific Conference on Computer Graphics and Applications · doi:10.1109/pg.2007.17 · Cited by 594 · see citing works
Face transfer with multilinear models
Vlasic, D., Brand, M., Pfister, H., & Popović, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073209 · Cited by 565 · see citing works
Scanning 3D Full Human Bodies Using Kinects
Tong, J. W., Zhou, J., Liu, L., Pan, Z., & Yan, H. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.56 · Cited by 500 · see citing works
Zhang, L., Snavely, N., Curless, B., & Seitz, S. M. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015759 · Cited by 493 · see citing works
Self-citationEmbedded deformation for shape manipulation
Sumner, R. W., Schmid, J., & Pauly, M. V. (2007) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1275808.1276478 · Cited by 459 · see citing works
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3D Morphable Face Models—Past, Present, and Future
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What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics
Dantcheva, A., Elia, P., & Ross, A. A. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2480381 · Cited by 431 · see citing works
Capturing the human figure through a wall
Adib, F., Hsu, C.-Y., Mao, H., Katabi, D., & Durand, F. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818072 · Cited by 402 · see citing works
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Han, X.-F., Laga, H., & Bennamoun, M. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2954885 · Cited by 440 · see citing works
A Statistical Model of Human Pose and Body Shape
Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., & Seidel, H. (2009) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2009.01373.x · Cited by 419 · see citing works
Global Correspondence Optimization for Non‐Rigid Registration of Depth Scans
Li, H., Sumner, R. W., & Pauly, M. V. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2008.01282.x · Cited by 401 · see citing works
Wiley, D. F., Amenta, N., Alcantara, D. A., Ghosh, D., Kil, Y. J., Delson, E., Harcourt‐Smith, W. E. H., John, K. S., Rohlf, F. J., & Bernd Hamann, A. (2006) · Visualization · doi:10.1109/vis.2005.30 · Cited by 395 · see citing works
Estimating human shape and pose from a single image
Guan, P., Weiss, A., Bălan, A. O., & Black, M. J. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459300 · Cited by 377 · see citing works
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Genova, K., Cole, F. H., Sud, A., Sarna, A., & Funkhouser, T. A. (2020) · 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/cvpr42600.2020.00491 · Cited by 370 · see citing works
Mesh Parameterization Methods and Their Applications
Sheffer, A., Praun, E., & Rose, K. H. (2006) · now publishers, Inc. eBooks · doi:10.1561/9781933019895 · Cited by 352 · see citing works
A probabilistic model for component-based shape synthesis
Kalogerakis, E., Chaudhuri, S., Koller, D., & Koltun, V. (2012) · ACM Transactions on Graphics · doi:10.1145/2185520.2185551 · Cited by 350 · see citing works
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models
Xu, H., Băzăvan, E. G., Zanfir, A., Freeman, W. T., Sukthankar, R., & Sminchisescu, C. (2020) · 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/cvpr42600.2020.00622 · Cited by 347 · see citing works
Loper, M., Mahmood, N., & Black, M. J. (2014) · ACM Transactions on Graphics · doi:10.1145/2661229.2661273 · Cited by 344 · see citing works
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Li, H., Adams, B., Guibas, L. J., & Pauly, M. (2009) · ACM Transactions on Graphics · doi:10.1145/1618452.1618521 · Cited by 334 · see citing works
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Pons‐Moll, G., Romero, J., Mahmood, N., & Black, M. J. (2015) · ACM Transactions on Graphics · doi:10.1145/2766993 · Cited by 323 · see citing works
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Kraevoy, V., & Sheffer, A. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015811 · Cited by 323 · see citing works
Kim, V. G., Lipman, Y., & Funkhouser, T. A. (2011) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1964921.1964974 · Cited by 311 · see citing works
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Ovsjanikov, M., Mérigot, Q., Mémoli, F., & Guibas, L. (2010) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2010.01764.x · Cited by 301 · 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
Home 3D body scans from noisy image and range data
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Nealen, A., Igarashi, Y., Sorkine‐Hornung, O., & Alexa, M. (2007) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1275808.1276429 · Cited by 303 · see citing works
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Kim, V. G., Lipman, Y., & Funkhouser, T. (2011) · ACM Transactions on Graphics · doi:10.1145/2010324.1964974 · Cited by 298 · see citing works
Li, J., Xu, K., Chaudhuri, S., Yumer, E., Zhang, H., & Guibas, L. J. (2017) · ACM Transactions on Graphics · doi:10.1145/3072959.3073637 · Cited by 296 · see citing works
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Huang, Q., Adams, B., Wicke, M., & Guibas, L. J. (2008) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2008.01285.x · Cited by 279 · see citing works
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Jain, A., Thormählen, T., Seidel, H., & Theobalt, C. (2010) · ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia) · doi:10.1145/1866158.1866174 · Cited by 219 · see citing works
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Attene, M., Campen, M., & Kobbelt, L. P. (2013) · ACM Computing Surveys · doi:10.1145/2431211.2431214 · Cited by 209 · see citing works
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Weber, O., Sorkine‐Hornung, O., Lipman, Y., & Gotsman, C. (2007) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01048.x · Cited by 148 · see citing works
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“t related to the goal of this paper. The estimation of 3D pose and shape from monocular images is largely based on low dimensional statistical models of the human body learned from thousands of scans [3,4,18]. Currently the most popular model is SMPL [18] and recent work on modeling animals also builds on its formulat…”
BackgroundCapturing and animating skin deformation in human motion
Park, S. I., & Hodgins, J. K. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141970 · Cited by 202 · see citing works
Errors in landmarking and the evaluation of the accuracy of traditional and 3D anthropometry
Kouchi, M., & Mochimaru, M. (2010) · Applied Ergonomics · doi:10.1016/j.apergo.2010.09.011 · Cited by 140 · see citing works
Cheung, K.-M., Baker, S., & Takeo Kanade, A. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-6879-4 · Cited by 140 · see citing works
Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data
Wand, M., Adams, B., Ovsjanikov, M., Berner, A., Bokeloh, M., Jenke, P., Guibas, L., Seidel, H.-P., & Schilling, A. (2009) · ACM Transactions on Graphics · doi:10.1145/1516522.1516526 · Cited by 136 · see citing works
The stitched puppet: A graphical model of 3D human shape and pose
Zuffi, S., & Black, M. J. (2015) · 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.2015.7298976 · Cited by 136 · see citing works
Automated anthropometric data collection using 3D whole body scanners
LU, J., & Wang, M. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.07.008 · Cited by 138 · see citing works
Digital anthropometry: a critical review
Heymsfield, S. B., Bourgeois, B. L., Ng, B. K., Sommer, M. J., Li, X. S., & Shepherd, J. (2018) · European Journal of Clinical Nutrition · doi:10.1038/s41430-018-0145-7 · Cited by 138 · see citing works
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Wu, R., Zhuang, Y., Xu, K., Zhang, H., & Chen, B. (2020) · 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/cvpr42600.2020.00091 · Cited by 137 · see citing works
Design automation for customized apparel products
Wang, C. C. L., Wang, Y., & Yuen, M. M. F. (2004) · Computer-Aided Design · doi:10.1016/j.cad.2004.08.007 · Cited by 135 · see citing works
Modeling deformable human hands from medical images
Kurihara, T., & Miyata, N. (2004) · Computer animation and simulation · doi:10.1145/1028523.1028571 · Cited by 134 · see citing works
Through-Wall Human Mesh Recovery Using Radio Signals
Zhao, M., Liu, Y., Raghu, A., Zhao, H., Li, T., Torralba, A. B., & Katabi, D. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.01021 · Cited by 132 · see citing works
Parametric human body shape modeling framework for human-centered product design
Baek, S.-Y., & Lee, K. (2010) · Computer-Aided Design · doi:10.1016/j.cad.2010.12.006 · Cited by 131 · see citing works
Shi, X., Cao, L., Reed, M. P., Rupp, J. D., Hoff, C. N., & Hu, J. (2014) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2014.04.045 · Cited by 131 · see citing works
A Review of Body Measurement Using 3D Scanning
Bartol, K., Bojanic, D., Petković, T., & Pribanić, T. (2021) · IEEE Access · doi:10.1109/access.2021.3076595 · Cited by 133 · see citing works
Towards a Complete 3D Morphable Model of the Human Head
Ploumpis, S., Ververas, E., Sullivan, E. O., Moschoglou, S., Wang, H., Pears, N. E., Smith, W. A. P., Geçer, B., & Zafeiriou, S. P. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.2991150 · Cited by 126 · see citing works
Zhang, L., Snavely, N., Curless, B., & Seitz, S. M. (2004) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1186562.1015759 · Cited by 123 · see citing works
Self-citationGRASS: Generative Recursive Autoencoders for Shape StructuresPreprint
Li, J., Xu, K., Chaudhuri, S., Yumer, E., Zhang, H., & Guibas, L. J. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1705.02090 · Cited by 118 · see citing works
Interactive region-based linear 3D face models
Tena, J. R., la Torre, F. D., & Matthews, I. A. (2011) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/1964921.1964971 · Cited by 117 · see citing works
Fixing Geometric Errors on Polygonal Models: A Survey
Ju, T. (2009) · Journal of Computer Science and Technology · doi:10.1007/s11390-009-9206-7 · Cited by 116 · see citing works
- Authors
- Allen, B., Curless, B., & Popović, Z.
- Affiliations
- University of Washington (US)
- Venue
- ACM SIGGRAPH 2003 Papers
- Publisher
- ACM
- Published
- 2003-07
- Pages
- 587-594
- OpenAlex
- W2099011563
- Cited by
- 913
- References
- 23
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 5 · 2022: 9 · 2021: 36 · 2020: 58 · 2019: 44 · 2018: 73 · 2017: 58 · 2016: 48 · 2015: 57 · 2014: 71 · 2013: 60 · 2012: 45
- FWCI
- 60.72
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM SIGGRAPH Conference (SIGGRAPH) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- human body modeling, range scans, affine transformation, texture transfer, statistical shape analysis
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.
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