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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.

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Cited By

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
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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

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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]

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

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2006

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Cited By

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
Feng ARosenberg EShapiro A(2017)Just‐in‐time, viable, 3‐D avatars from scansComputer Animation and Virtual Worlds10.1002/cav.176928:3-4Online publication date: 5-May-2017
https://doi.org/10.1002/cav.1769
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