A discussion on selected problems of lossless binary digital images compression

Authors

  • Dariusz Frejlichowski West Pomeranian University of Technology in Szczecin
  • Patrycja Nuszkiewicz West Pomeranian University of Technology in Szczecin

DOI:

https://doi.org/10.34767/SIMIS.2010.02.01

Keywords:

3D shape, image retrieval, 3D shape descriptors

Abstract

In the paper a brief survey on existing approaches to the representation of three-dimensional shapes was presented. It is a new way of describing objects in image processing, recognition and indexing. The 3D shape descriptors become more and more useful and widely used. Rapid development of computer hardware and the possibilities of fast processing of three-dimensional scenes cause it. Many new applications of 3D shape description can be easily found, e.g. in biometrics, CAD systems and image retrieval.

References

Ankerst M., Kastenmüller G., Kriegel H., Seidl T., “3D Shape Histograms for Similarity Search and Classification in Spatial Databases”, 6th International Symposium on Spatial Databases, pp. 207-226, 1999

Gal R., Cohen-Or D., "Salient Geometric Features for Partial Shape Matching and Similarity", ACM Transactions on Graphics, vol. 25, pp. 130-150, 2006

Hilaga M., Shinagawa Y., Kohmura T., Kunii T. L., „Topology Matching for Fully Automatic Similarity Estimation of 3D Shapes”, 28th Annual Conference on Computer Graphics and Interactive Techniques, pp. 203- 212, 2001

Hoffman D. D., Singh M., “Salience of Visual Parts”,Cognition, vol. 63, pp. 29-78, 1997

Horn B., “Extended Gaussian Images”, Proc. of the IEEE A.I. Memo No. 740, Vol. 72 (12), pp. 1671–1686, 1984

Johsnon A., “Surface Landmark Selection and Matching in Natural Terrain”, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 413-420, 2000

Kang S., Ikeuchi K., “Determining 3-D Object Pose Using the Complex Extended Guassian Image”, CVPR, pp. 580–585, 1991

Kazhdan M., Chazelle B., Dobkin D., Funkhouser T., Rusinkiewicz S., “A Reflective Symmetry Descriptor for 3D Models”, Algorithmica, vol 38, pp. 201-225, 2003

Kazhdan M., Funkhouser T., Rusinkiewicz S., “Rotation Invariant Spherical Harmonic Representation of 3D Shape Descriptors”, 2003 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing, pp. 156-164, 2003

Kazhdan M., Funkhouser T., Rusinkiewicz S., “Symmetry Descriptors and 3D Shape Matching”, 2004 Eurographics/ACM SIGGRAPH Symposium on Geometry Processing, pp. 115-123, 2004

Novotni M., Degener P., Klein R., “Correspondence Generation and Matching of 3D Shape Subparts”, Technical Report CG-2005-2, Universität Bonn, 2005

Osada R., Funkhouser T., Chazelle B., Dobkin D., “Matching 3D Models with Shape Distributions”, International Conference on Shape Modeling and Applications, pp. 154-166, 2001

Osada R., Funkhouser T., Chazelle B., Dobkin D., “Shape Distributions”, ACM Transactions on Graphics, vol. 21, pp. 807-832, 2002

Roach J., Wright J., Ramesh V., “Spherical Dual Images: A 3D Representation Method for Solid Objects that Combines Dual Space and Gaussian Spheres”, CVPR, pp. 236-241, 1986

Saupe D., Vranić D. V., “3D Model Retrieval with Spherical Harmonics and Moments”, 23rd DAGMSymposium on Pattern Recognition, pp. 392-397, 2001

Shilane P., Funkhouser T., “Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval”, IEEE International Conference on Shape Modeling and Applications, 2006

Sundar H., Silver D., Gagvani N., Dickinson S., “Skeleton Based Shape Matching and Retrieval”, Shape Modeling International, pp. 130-139, 2003

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Published

2010-06-01

How to Cite

A discussion on selected problems of lossless binary digital images compression . (2010). Studia I Materiały Informatyki Stosowanej, 2(2), 15-22. https://doi.org/10.34767/SIMIS.2010.02.01