ACM Home Page
Please provide us with feedback. Feedback
Ridge-valley lines on meshes via implicit surface fitting
Full text MovMov (19:43),  PdfPdf (382 KB)
Source ACM Transactions on Graphics (TOG) archive
Volume 23 ,  Issue 3  (August 2004) table of contents
Proceedings of ACM SIGGRAPH 2004
SESSION: Shape analysis table of contents
Pages: 609 - 612  
Year of Publication: 2004
ISSN:0730-0301
Also published in ...
Authors
Yutaka Ohtake  RIKEN
Alexander Belyaev  Max-Planck-Institut für Informatik
Hans-Peter Seidel  Max-Planck-Institut für Informatik
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 55,   Downloads (12 Months): 311,   Citation Count: 39
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1015706.1015768
What is a DOI?

ABSTRACT

We propose a simple and effective method for detecting view-and scale-independent ridge-valley lines defined via first- and second-order curvature derivatives on shapes approximated by dense triangle meshes. A high-quality estimation of high-order surface derivatives is achieved by combining multi-level implicit surface fitting and finite difference approximations. We demonstrate that the ridges and valleys are geometrically and perceptually salient surface features, and, therefore, can be potentially used for shape recognition, coding, and quality evaluation purposes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
BELYAEV, A. G., ANOSHKINA, E. V., AND KUNII, T. L. 1997. Ridges, ravines, and singularities. In A. T. Fomenko, and T. L. Kunii, Topological Modeling for Visualization, Springer, 375--383. Chapter 18.
2
 
3
4
5
 
6
7
 
8
 
9
GUMHOLD, S., WANG, X., AND MCLEOD, R. 2001. Feature extraction from point clouds. In Proc. 10th International Meshing Roundtable, 293--305.
 
10
 
11
 
12
 
13
ISKE, A., AND LEVESLEY, J. 2002. Multilevel scattered data approximation by adaptive domain decomposition. Tech. Rep. TUM-M0208, Technische Universität München.
 
14
KENT, J. T., MARDIA, K. V., AND WEST, J. 1996. Ridge curves and shape analysis. In The British Machine Vision Conference 1996, 43--52.
 
15
 
16
LITTLE, J. J., AND SHI, P. 2001. Structural lines, TINs and DEMs. Algorithmica 30, 2, 243--263.
 
17
 
18
 
19
 
20
MEYER, M., DESBRUN, M., SCHRÖDER, P., AND BARR, A. H. 2003. Discrete differential-geometry operators for triangulated 2-manifolds. In Visualization and Mathematics III, Springer, H.-C. Hege and K. Polthier, Eds., 35--58.
 
21
MONGA, O., BENAYOUN, S., AND FAUGERAS, O. 1992. From partial derivatives of 3-D density images to ridge lines. In Proc. CVPR'92, IEEE, 354--359.
22
 
23
 
24
 
25
PAULY, M., KEISER, R., AND GROSS, M. 2003. Multi-scale feature extraction on point-sampled models. Computer Graphics Forum 22, 3, 281--289. Eurographics 2003 issue.
 
26
 
27
PORTEOUS, I. R. 1994. Geometric Differentiation for the Intelligence of Curves and Surfaces. Cambridge University Press, Cambridge.
 
28
STYLIANOU, G., AND FARIN, G. 2003. Crest lines extraction from 3D triangulated meshes. In Hierarchical and Geometrical Methods in Scientific Visualization, Springer, G. Farin, B. Hamann, and H. Hagen, Eds., 269--281.
 
29
WATANABE, K., AND BELYAEV, A. G. 2001. Detection of salient curvature features on polygonal surfaces. Computer Graphics Forum 20, 3, 385--392. Eurographics 2001 issue.

CITED BY  39

Collaborative Colleagues:
Yutaka Ohtake: colleagues
Alexander Belyaev: colleagues
Hans-Peter Seidel: colleagues