Invariant features for 3D-data based on group integration using directional information and spherical harmonic expansion

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 206-209

  Reisert, M ^a   Burkhardt, H ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; HARMONIC ANALYSIS;

HARMONIC EXPANSION; INVARIANT FEATURES; ROTATIONAL POSES;

FEATURE EXTRACTION;

EID: 34147095322     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.721     Document Type: Conference Paper

References (10)

1. H. Burkhardt, M.Reisert, and H.Li. Invariants for discrete structures - an extension of haar integrals over transformation groups of dirac delta functions. In Proceedings of the 26th DAGM Symposium, 2004.
2. H. Burkhardt and S.Siggelkow. Invariant features in pattern recognition - fundamentals and applications. In C. Kotropoulos and I. Pitas, editors, Nonlinear Model-Based Image/Video Processing and Analysis. John Wiley and Sons, 2001.
3. D. Chen, X. Tian, Y. Shen, and M. Ouhyoung. On visual similarity based 3d model retrieval. In Computer Graphics Forum, volume 22/3, 2003.
4. F. Dachille and A. Kaufman. Incremental triangle voxelization. In Proceedings of Graphics Interface 2000, pages 205-212, 2000.
5. B. Haasdonk, A. Vossen, and H. Burkhardt. Invariance in kernel methods by haar-integration kernels. In Proceedings of the 14th Scandinavian Conference on Image Analysis, pages 841-851, 2005.
6. R. Ohbuchi, T. Minamitani, and T. Takei. Shape-similarity search of 3d models by using enhanced shape functions. International Journal of Computer Applications in Technology (IJCAT), 23:70-85, 2005.
7. R. Osada, T. Funkhouser, and B. C. und David Dobkin. Matching 3d models with shape distribution. In Proceedings Shape Modeling International, 2001.
8. O. Ronneberger, H. Burkhardt, and E. Schultz. Generalpurpose Object Recognition in 3D Volume Data Sets using Gray-Scale Invariants. In Proceedings of the International Conference on Pattern Recognition, Quebec, Canada, Sept. 2002.
9. O. Ronneberger, J. Fehr, and H. Burkhardt. Voxel-wise gray scale invariants for simultaneous segmentation and classification. In In Proceedings of the 27th DAGM Symposium, Vienna, Austria, 2005.
10. P. Shilane, P. Min, M. Kazhdan, and T. Funkhouser. The princeton shape benchmark. In Shape Modeling International, Genova, Italy, 2004.