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Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics

Published: 01 July 1991 Publication History

Abstract

The authors present a physically based approach to fitting complex three-dimensional shapes using a novel class of dynamic models that can deform both locally and globally. They formulate the deformable superquadrics which incorporate the global shape parameters of a conventional superellipsoid with the local degrees of freedom of a spline. The model's six global deformational degrees of freedom capture gross shape features from visual data and provide salient part descriptors for efficient indexing into a database of stored models. The local deformation parameters reconstruct the details of complex shapes that the global abstraction misses. The equations of motion which govern the behavior of deformable superquadrics make them responsive to externally applied forces. The authors fit models to visual data by transforming the data into forces and simulating the equations of motion through time to adjust the translational, rotational, and deformational degrees of freedom of the models. Model fitting experiments involving 2D monocular image data and 3D range data are presented.

References

[1]
{1} A. Barr, "Superquadrics and angle-preserving transformations," IEEE Comput. Graphics Applications, vol. 18, pp. 21-30, 1981.
[2]
{2} K.-J. Bathe and E.L. Wilson, Numerical Methods in Finite Element Analysis, Englewood Cliffs, NJ: Prentice-Hall, 1976.
[3]
{3} I. Biederman, "Human image understanding: Recent research and theory," Comput. Vision Graphics Image Processing, vol. 32, pp. 29-73, 1985.
[4]
{4} A. Blake and A. Zisserman, Visual Reconstruction, Cambridge, MA: MIT Press, 1987.
[5]
{5} R. Brooks, "Symbolic reasoning among 3D models and 2D images," Art. Intell., vol. 17, pp. 285-348, 1981.
[6]
{6} M. Gardiner, "The superellipse: A curve between the ellipse and the rectangle," Scientific Amer., vol. 213, pp. 222-234, 1965.
[7]
{7} A.D. Gross and T. E. Boult, "Error of fit measures for recovering parametric solids," in Proc. Sec. Int. Conf. Comput. Vision, 1988, pp. 690-694.
[8]
{8} A. Gupta and R. Bajcsy, "Part description and segmentation using contour, surface, and volumetric primitives," in Sensing and Reconstruction of Three-Dimensional Objects and Scenes, Proc. SPIE 1260, B. Girod (Ed.), 1990, pp. 203-214.
[9]
{9} B. B. Kimia, A. Tannenbaum, and S. W. Zucker, "Toward a computational theory of shape: An overview," Tech. Rep. TR-CIM-89-13, Comput. Vision Robotics Lab., 1989.
[10]
{10} D. Marr and H. K. Nishihara, "Representation and recognition of the spatial organization of three-dimensional shapes," Proc. Roy. Soc. London B, vol. 200, pp. 269-294, 1978.
[11]
{11} A. Pentland, "Perceptual organization and the representation of natural form," Art. Intell., vol. 28, pp. 293-331, 1986.
[12]
{12} A. Pentland, "Automatic extraction of deformable part models," Tech. Rep. Vision-Sciences 104, MIT Media Lab., 1988.
[13]
{13} A. Pentland, "Canonical fitting of deformable part models," in Sensing and Reconstruction of Three-Dimensional Objects and Scenes, Proc. SPIE 1260, B. Girod (Ed.), 1990, pp. 216-228.
[14]
{14} T. Poggio, V. Torre, and C. Koch, "Computational Vision and regularization theory," Nature, vol. 317, pp. 314-319, 1985.
[15]
{15} M. Rioux and L. Cournoyer, "The NRCC three-dimensional image data files," Tech. Rep. CNRC 29077, Nat. Res. Council Canada, 1988.
[16]
{16} A.A. Shabana, Dynamics of Multibody Systems, New York: Wiley, 1989.
[17]
{17} F. Solina and R. Bajcsy, "Recovery of parametric models from range images: The case for superquadrics with global deformations," IEEE Trans. Patt. Anal. Mach. Intell., vol. 12, pp. 131-146, 1990.
[18]
{18} R. Szeliski, Bayesian Modeling of Uncertainty in Low-Level Vision, Boston: Kluwer, 1989.
[19]
{19} D. Terzopoulos, "Regularization of inverse visual problems involving discontinuities," IEEE Trans. Patt. Anal. Mach. Intell., vol. PAMI-8, pp. 413-424, 1986.
[20]
{20} D. Terzopoulos, "The computation of visible-surface representations," IEEE Trans. Patt. Anal. Mach. Intell., vol. 10, pp. 417-438, 1988.
[21]
{21} D. Terzopoulos and A. Witkin, "Physically based models with rigid and deformable components," IEEE Comput. Graphics Applications, vol. 8, pp. 41-51, 1988.
[22]
{22} D. Terzopoulos, A. Witkin, and M. Kass, "Constraints on deformable models: Recovering 3D shape and nonrigid motion," Art. Intell., vol. 36, pp. 91-123, 1988.
[23]
{23} A. Witkin and W. Welch, "Fast animation and control of nonrigid structures," Comput. Graphics, vol. 24, pp. 243-252, 1990.

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Published In

cover image IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence  Volume 13, Issue 7
July 1991
134 pages
ISSN:0162-8828
Issue’s Table of Contents

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IEEE Computer Society

United States

Publication History

Published: 01 July 1991

Author Tags

  1. 2D monocular image data
  2. 3D range data
  3. 3D shapes
  4. computer vision
  5. deformable superquadrics
  6. dynamic 3D models
  7. finite element analysis
  8. global deformations
  9. local deformation
  10. model fitting
  11. picture processing

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  • (2010)3D structure refinement of nonrigid surfaces through efficient image alignmentProceedings of the 10th Asian conference on Computer vision - Volume Part IV10.5555/1966111.1966119(76-89)Online publication date: 8-Nov-2010
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