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Weighted Minimal Hypersurface Reconstruction

Published: 01 July 2007 Publication History

Abstract

Many problems in computer vision can be formulated as a minimization problem for an energy functional. If this functional is given as an integral of a scalar-valued weight function over an unknown hypersurface, then the sought-after minimal surface can be determined as a solution of the functional's Euler-Lagrange equation. This paper deals with a general class of weight functions that may depend on surface point coordinates as well as surface orientation. We derive the Euler-Lagrange equation in arbitrary dimensional space without the need for any surface parameterization, generalizing existing proofs. Our work opens up the possibility of solving problems involving minimal hypersurfaces in a dimension higher than three, which were previously impossible to solve in practice. We also introduce two applications of our new framework: We show how to reconstruct temporally coherent geometry from multiple video streams, and we use the same framework for the volumetric reconstruction of refractive and transparent natural phenomena, here bodies of flowing water.

References

[1]
Y. Chen, Y. Giga, and S. Goto, “Uniqueness and Existence of Viscosity Solutions of Generalized Mean Curvature Flow,” J.Differential Geometry, vol. 33, pp. 749-786, 1991.
[2]
V. Caselles, R. Kimmel, and G. Sapiro, “Geodesic Active Contours,” Proc. Int'l Conf. Computer Vision, pp. 694-699, 1995, citeseer.nj.nec.com/caselles95geodesic.html.
[3]
V. Caselles, R. Kimmel, G. Sapiro, and C. Sbert, “Three Dimensional Object Modeling Via Minimal Surfaces,” Proc. European Conf. Computer Vision, vol. 1, pp. 97-106, Apr. 1996.
[4]
O. Faugeras and R. Keriven, “Variational Principles, Surface Evolution, PDE's, Level Set Methods and the Stereo Problem,” IEEE Trans. Image Processing, vol. 3, no. 7, pp. 336-344, Mar. 1998.
[5]
J. Clelland, “MSRI Workshop on Lie Groups and the Method of Moving Frames,” Dept. of Math., Univ. of Colorado, July 1999, http://spot.Colorado.EDU/~jnc/MSRI.html.
[6]
B. Goldluecke and M. Magnor, “Space-Time Isosurface Evolution for Temporally Coherent 3D Reconstruction,” Proc. Conf. Computer Vision and Pattern Recognition, pp. 350-355, July 2004.
[7]
I. Ihrke, B. Goldluecke, and M. Magnor, “Reconstructing the Geometry of Flowing Water,” Proc. Int'l Conf. Computer Vision, pp.1055-1060, 2005.
[8]
M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active Contour Models,” Int'l J. Computer Vision, vol. 1, pp. 321-331, 1988, citeseer.nj.nec.com/zhao01fast.html.
[9]
V. Caselles, R. Kimmel, G. Sapiro, and C. Sbert, “Minimal Surfaces Based Object Segmentation,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 4, pp. 394-398, Apr. 1997.
[10]
H. Zhao, S. Osher, and R. Fedkiw, “Fast Surface Reconstruction Using the Level Set Method,” Proc. First IEEE Workshop Variational and Level Set Methods, vol. 80, no. 3, pp. 194-202, 2001, citeseer.nj.nec.com/zhao01fast.html.
[11]
N. Paragios and R. Deriche, “Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 3, pp.266-280, Mar. 2000.
[12]
K.N. Kutukalos and S.M. Seitz, “A Theory of Shape by Space Carving,” Int'l J. Computer Vision, vol. 38, no. 3, pp. 197-216, July 2000.
[13]
H. Jin, S. Soatto, and A.J. Yezzi, “Multi-View Stereo beyond Lambert,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. I, pp. 171-178, June 2003.
[14]
B. Goldluecke and M. Magnor, “Weighted Minimal Hypersurfaces and Their Applications in Computer Vision,” Proc. European Conf. Computer Vision, pp. 366-378, May 2004.
[15]
R. Sharpe, Differential Geometry. Springer, 1997.
[16]
S. Osher and J. Sethian, “Fronts Propagating with Curvature Dependent Speed: Algorithms Based on the Hamilton-Jacobi Formulation,” J. Computational Physics, vol. 79, pp. 12-49, 1988.
[17]
D. Chop, “Computing Minimal Surfaces Via Level Set Curvature Flow,” J. Computational Physics, vol. 106, pp. 77-91, 1993.
[18]
J.A. Sethian, Level Set Methods and Fast Marching Methods, second ed. Cambridge Univ. Press, 1999.
[19]
A. Laurentini, “The Visual Hull Concept for Silhouette-Based Image Understanding,” IEEE Trans. Pattern Analysis and Machine Recognition, vol. 16, no. 2, pp. 150-162, Feb. 1994.
[20]
I. Ihrke and M. Magnor, “Image-Based Tomographic Reconstruction of Flames,” Proc. ACM Siggraph/Eurographics Symp. Computer Animation, pp. 367-375, June 2004.
[21]
L. Ahrenberg, I. Ihrke, and M. Magnor, “Volumetric Reconstruction, Compression and Rendering of Natural Phenomena from Multi-Video Data,” Proc. Int'l Workshop Volume Graphics, June 2005.
[22]
S.W. Hasinoff and K.N. Kutulakos, “Photo-Consistent 3D Fire by Flame-Sheet Decomposition,” Proc. Ninth IEEE Int'l Conf. Computer Vision (ICV '03), pp. 1184-1191, 2003.
[23]
H. Murase, “Surface Shape Reconstruction of a Nonrigid Transparent Object Using Refraction and Motion,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 10, pp. 1045-1052, Oct. 1992.
[24]
N.J.W. Morris and K.N. Kutulakos, “Dynamic Refraction Stereo,” Proc. Int'l Conf. Computer Vision, pp. 1573-1580, 2005.
[25]
H. Schultz, “Retrieving Shape Information from Multiple Images of a Specular Surface,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 2, pp. 195-201, Feb. 1994.
[26]
C. Pintavirooj, A. Romputtal, A. Ngamlamiad, W. Withayachumnankul, and K. Hamamoto, “Ultrasonic Refractive Index Tomography,” J. Winter School of Computer Graphics, vol. 12, no. 2, pp. 333-339, Feb. 2004.
[27]
A.V. Zvyagin, K.K.M.B.D. Silva, S.A. Alexandrov, T.R. Hillman, and J.J. Armstrong, “Refractive Index Tomography of Turbid Media by Bifocal Optical Coherence Refractometry,” Optics Express, vol. 11, no. 25, pp. 3503-3517, Dec. 2003.
[28]
K.N. Kutulakos and E. Steger, “A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation,” Proc. Int'l Conf. Computer Vision, pp. 1448-1455, 2005.
[29]
A. Laurentini, “The Visual Hull Concept for Silhouette-Based Image Understanding,” IEEE Trans. Pattern Analysis and Machine Recognition, vol. 16, no. 2, pp. 150-162, Feb. 1994.
[30]
W. Matusik, C. Buehler, R. Raskar, S. Gortler, and L. McMillan, “Image-Based Visual Hulls,” Proc. ACM SIGGRAPH Conf., pp.369-374, 2000.

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Information & Contributors

Information

Published In

cover image IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence  Volume 29, Issue 7
July 2007
193 pages

Publisher

IEEE Computer Society

United States

Publication History

Published: 01 July 2007

Author Tags

  1. Euler-Lagrange formulation.
  2. Weighted minimal hypersurfaces
  3. reconstruction
  4. tomography

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