Article

Human hand modeling from surface anatomy

Authors:

Ulrich Neumann,

J. P. LewisAuthors Info & Claims

I3D '06: Proceedings of the 2006 symposium on Interactive 3D graphics and games

Pages 27 - 34

https://doi.org/10.1145/1111411.1111417

Published: 14 March 2006 Publication History

Abstract

The human hand is an important interface with complex shape and movement. In virtual reality and gaming applications the use of an individualized rather than generic hand representation can increase the sense of immersion and in some cases may lead to more effortless and accurate interaction with the virtual world. We present a method for constructing a person-specific model from a single canonically posed palm image of the hand without human guidance. Tensor voting is employed to extract the principal creases on the palmar surface. Joint locations are estimated using extracted features and analysis of surface anatomy. The skin geometry of a generic 3D hand model is deformed using radial basis functions guided by correspondences to the extracted surface anatomy and hand contours. The result is a 3D model of an individual's hand, with similar joint locations, contours, and skin texture.

References

[1]

Albrecht, I., Haber, J., and Seidel, H. P. 2003. Construction and animation of anatomically based human hand models. In Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA-03), 98--109.

Digital Library

[2]

Alias. Maya 6. http://www.alias.com.

[3]

Allen, B., Curless, B., and Popović, Z. 2003. The space of human body shapes: reconstruction and parameterization from range scans. ACM Trans. Graph. 22, 3, 587--594.

Digital Library

[4]

Bookstein, F. L. 1989. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE, Trans. Pattern Analysis and Machine Intelligence 11, 567--585.

Digital Library

[5]

Brand, P. W., and Hollister, A. M. 1999. Clinical mechanics of the hand: 3rd Ed. Mosby.

[6]

Buchholz, B., Armstrong. T., and Goldstein, S. 1992. Anthropometric data for describing the kinematics of the human hand. Ergonomics 35, 3, 261--73.

[7]

Bugbee, W. D., and Botte, M. J. 1993. Surface anatomy of the hand: The relationships between palmar skin creases and osseous anatomy. Clinical Orthopaedics and Related Research, 296, 122--126.

[8]

Burt, P., and Adelson, E. 1983. A multiresolution spline with application to image mosaics. ACM Transaction on Graphics 2, 4 (Oct.).

Digital Library

[9]

Carr, J. C., Beatson, R. K., Cherrie, J. B., Mitchell, T. J., Fright, W. R., McCallum, B. C., and Evans, T. R. 2001. Reconstruction and representation of 3D objects with radial basis functions. In SIGGRAPH 2001, Computer Graphics Proceedings, ACM Press / ACM SIGGRAPH, 67--76.

Digital Library

[10]

Curiouslab. Poser 5. http://www.curiouslabs.com.

[11]

ElKoura, G., and Singh, K. 2003. Handrix: animating the human hand. In SCA '03: Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation, 110--119.

Digital Library

[12]

Forsyth, D., and Ponce, J. 2002. Computer Vision A Modern Approach. Prentice Hall.

Digital Library

[13]

Guy, G., and Medioni, G. 1996. Inferring global perceptual contours from local features. International Journal of Computer Vision 20 (Dec. 06).

Digital Library

[14]

Huang, Z., Boulic, R., and Thalmann, D. 1995. A multi-sensor approach for grasping and 3-D interaction: In Computer Graphics International '95.

Digital Library

[15]

Iris. Tensor voting framework. http://iris.usc.edu/~tensorvt.

[16]

Jain, A. K., Ross, A., and Pankanti, S. 1999. A prototype hand geometry-based verification system. In Proc. of 2nd Int'l Conference on Audio and Video-based Biometric Person Authentication(AVBPA), 166--171.

[17]

Kähler, K., Haber, J., Yamauchi, H., and Seidel, H.-P. 2002. Head shop: generating animated head models with anatomical structure. In SCA '02: Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation, 55--63.

Digital Library

[18]

Kim, J., Cordier, F., and Magnenat-Thalmann, N. 2000. Neural network based violinist's hand animation. In Computer Graphics International Proceedings, IEEE Computer Society, 37--41.

Digital Library

[19]

Kry, P. G., James, D. L., and Pai. D. K. 2002. EigenSkin: Real time large deformation character skinning in hardware. In Proceedings of the 2002 ACM SIGGRAPH Symposium on Computer Animation (SCA-02), 153--160.

Digital Library

[20]

Kurihara. T., and Miyata, N. 2004. Modeling deformable human hands from medical images. In Proceedings of the 2004 ACM SIGGRAPH Symposium on Computer Animation (SCA-04), 357--366.

Digital Library

[21]

Lin, J., Wu. Y., and Huang, T. S. 2000. Modeling the constraints of human hand motion. Workshop on Human Motion.

Digital Library

[22]

Medioni, G., Lee, M., and Tang, C. 2000. A Computational Framework for Segmentation and Grouping. Elsevier.

Digital Library

[23]

Moccozet, L., and Magnenat-Thalmann, N. 1997. Dirichlet free-form deformations and their application to hand simulation. In Computer Animation.

Digital Library

[24]

Pollard, N. S., and Zordan, V. B. 2005. Physically based grasping control from example. In SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics, symposium on Computer animation, 311--318.

Digital Library

[25]

Seo, H., Cordier, F., and Magnenat-Thalmann, N. 2003. Synthesizing animatable body models with parameterized shape modifications. In SCA '03: Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation, 120--125.

Digital Library

[26]

Shu, W., and Zhang, D. 1988. Automated personal identification by palmprint. Optical Engineering 37, 8, 2359--2362.

[27]

Thompson, D. E., Jr., W. L. B., Myers, L. M., Giurintano, D. J., and III. J. A. B. 1988. A hand biomechanics workstation. Computer Graphics (SIGGRAPH '88 Proceedings) 22, 4 (Aug.), 335--343.

Digital Library

[28]

Tsang, W., Singh, K., and Fiume, E. 2005. Helping hand: an anatomically accurate inverse dynamics solution for unconstrained hand motion. In SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, ACM Press, 319--328.

Digital Library

[29]

Wu, Y., and Huang, T. S. 1999. Human hand modeling, analysis, and animation in the context of HCI. International Conference on Image Processing.

[30]

Youm, Y., Gillespie, T. E., Flatt, A. E., and Spraque, B. L. 1978. Kinematic investigation of normal MCP joint. Journal of Biomechanics 11, 109--118.

[31]

Yu, H. L., Chase, R. A., and Strauch, B. 2004. Atlas of Hand Anatomy and Clinical Implications. Mosby.

[32]

Zhou, K., Wang, X., Tong, Y., Desbrun, M., Guo, B., and Shum. H.-Y. 2005. Texturemontage: Seamless texturing of arbitrary surfaces. from multiple images. ACM Trans. Graph. (Proceedings of ACM SIGGRAPH 2005) 24, 3, 1148--1155.

Digital Library

Cited By

Chang ILee KLiu Y(2025)Design concept and kinematic analysis of a compliant anatomical palm mechanism for bio-inspired robotic hand designInternational Journal of Intelligent Robotics and Applications10.1007/s41315-024-00415-1Online publication date: 10-Feb-2025
https://doi.org/10.1007/s41315-024-00415-1
Erçalık CÖzkurt S(2022)Two-point discrimination assessment of the upper extremities of healthy young Turkish individualsTurkish Journal of Physical Medicine and Rehabilitation10.5606/tftrd.2022.626368:1(136-141)Online publication date: 1-Mar-2022
https://doi.org/10.5606/tftrd.2022.6263
Banyeh MYeboah NSeidu LDoglikuu A(2022)Sex estimation accuracies from variables of the index and ring fingers in a Ghanaian population: Absolute lengths versus length ratiosForensic Science International: Reports10.1016/j.fsir.2022.100277(100277)Online publication date: May-2022
https://doi.org/10.1016/j.fsir.2022.100277
Show More Cited By

Index Terms

Human hand modeling from surface anatomy
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections
  2. Computer graphics
    1. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models

Recommendations

3D modeling of human hand with motion constraints
NRC '97: Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling

This paper describes a new approach for modeling of the human hand by considering the dynamics and the natural constraints of the motion and the shape of hands. The hand model consists of a dynamic model and a surface model. The dynamic model is used to ...
Simulation of Hand Anatomy Using Medical Imaging

Precision modeling of the hand internal musculoskeletal anatomy has been largely limited to individual poses, and has not been connected into continuous volumetric motion of the hand anatomy actuating across the hand's entire range of motion. This is for ...
3-D Modeling of Human Hand with Motion Constraints
3DIM '97: Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling

Abstract: This paper describes a new approach for modeling of the human hand by considering the dynamics and the natural constraints of the motion and the shape of hands. The hand model consists of a dynamic model and a surface model. The dynamic model ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

I3D '06: Proceedings of the 2006 symposium on Interactive 3D graphics and games

March 2006

231 pages

ISBN:159593295X

DOI:10.1145/1111411

Program Chairs:
Marc Olano,
Carlo Séquin

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Acceptance Rates

Overall Acceptance Rate 148 of 485 submissions, 31%

Upcoming Conference

I3D '25

Sponsor:
siggraph

Symposium on Interactive 3D Graphics and Games

May 7 - 9, 2025

Jersey City , NJ , USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

41
Total Citations
View Citations
1,738
Total Downloads

Downloads (Last 12 months)34
Downloads (Last 6 weeks)3

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Chang ILee KLiu Y(2025)Design concept and kinematic analysis of a compliant anatomical palm mechanism for bio-inspired robotic hand designInternational Journal of Intelligent Robotics and Applications10.1007/s41315-024-00415-1Online publication date: 10-Feb-2025
https://doi.org/10.1007/s41315-024-00415-1
Erçalık CÖzkurt S(2022)Two-point discrimination assessment of the upper extremities of healthy young Turkish individualsTurkish Journal of Physical Medicine and Rehabilitation10.5606/tftrd.2022.626368:1(136-141)Online publication date: 1-Mar-2022
https://doi.org/10.5606/tftrd.2022.6263
Banyeh MYeboah NSeidu LDoglikuu A(2022)Sex estimation accuracies from variables of the index and ring fingers in a Ghanaian population: Absolute lengths versus length ratiosForensic Science International: Reports10.1016/j.fsir.2022.100277(100277)Online publication date: May-2022
https://doi.org/10.1016/j.fsir.2022.100277
Wang YLi WTogo SYokoi HJiang Y(2021)Survey on Main Drive Methods Used in Humanoid Robotic Upper LimbsCyborg and Bionic Systems10.34133/2021/98174872021Online publication date: Jan-2021
https://doi.org/10.34133/2021/9817487
Hu BDing TPeng YLiu LWen X(2020)Flexible and attachable inertial measurement unit (IMU)-based motion capture instrumentation for the characterization of hand kinematics: A pilot studyInstrumentation Science & Technology10.1080/10739149.2020.1789657(1-21)Online publication date: 9-Jul-2020
https://doi.org/10.1080/10739149.2020.1789657
Spurr AIqbal UMolchanov PHilliges OKautz J(2020)Weakly Supervised 3D Hand Pose Estimation via Biomechanical ConstraintsComputer Vision – ECCV 202010.1007/978-3-030-58520-4_13(211-228)Online publication date: 19-Nov-2020
https://doi.org/10.1007/978-3-030-58520-4_13
Starețu I(2019)New experimental and minimum mathematical bases for human gripping and micromanipulationJournal of Engineering Sciences and Innovation10.56958/jesi.2019.4.3.2474:3(247-262)Online publication date: 3-Sep-2019
https://doi.org/10.56958/jesi.2019.4.3.247
GokulaKrishnan EMalathi G(2018)A Survey on Multi-feature Hand Biometrics RecognitionComputational Vision and Bio Inspired Computing10.1007/978-3-319-71767-8_91(1061-1071)Online publication date: 20-Feb-2018
https://doi.org/10.1007/978-3-319-71767-8_91
Tkach ATagliasacchi ARemelli EPauly MFitzgibbon A(2017)Online generative model personalization for hand trackingACM Transactions on Graphics10.1145/3130800.313083036:6(1-11)Online publication date: 20-Nov-2017
https://dl.acm.org/doi/10.1145/3130800.3130830
Remelli ETkach ATagliasacchi APauly M(2017)Low-Dimensionality Calibration through Local Anisotropic Scaling for Robust Hand Model Personalization2017 IEEE International Conference on Computer Vision (ICCV)10.1109/ICCV.2017.277(2554-2562)Online publication date: Oct-2017
https://doi.org/10.1109/ICCV.2017.277
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten