The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January (2010 vol.17)
pp: 56-66
Sorin Sav , Dublin City University
Noel E. O'Connor , Dublin City University
Marcin Grzegorzek , University of Koblenz-Landau
ABSTRACT
<p>This article presents a system for texture-based probabilistic classification and localization of 3D objects in 2D digital images and discusses selected applications.</p>
INDEX TERMS
object recognition, statistical modeling, wavelet analysis, image processing
CITATION
Sorin Sav, Noel E. O'Connor, Marcin Grzegorzek, "Local Wavelet Features for Statistical Object Classification and Localization", IEEE MultiMedia, vol.17, no. 1, pp. 56-66, January 2010, doi:10.1109/MMUL.2010.16
REFERENCES
1. L.J. Latecki, R. Lakaemper, and D. Wolter, "Optimal Partial Shape Similarity," Image and Vision Computing J., vol. 23, 2005, pp. 227-236.
2. I. Ulusoy and C.M. Bishop, "Generative versus Discriminative Methods for Object Recognition," Proc. Int'l Conf. Computer Visions and Pattern Recognition, vol. 2, IEEE CS Press, 2005, pp. 258-264.
3. I.T. Jolliffe, Principal Component Analysis, Springer, 2002.
4. A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley & Sons, 2001.
5. D.D. Lee and H.S. Seung, "Learning the Parts of Objects by Non-Negative Matrix Factorization," Nature, vol. 401, 1999, pp. 788-791.
6. P.M. Roth and M. Winter, "Survey of Appearance-Based Methods for Object Recognition," tech. report ICG-TR-01/08, Inst. for Computer Graphics and Vision, Graz Univ. of Technology, 2008.
7. R.O. Duda, P.E. Hart, and D.G. Stork, Pattern Classification, John Wiley & Sons, 2000.
8. V.N. Vapnik, The Nature of Statistical Learning Theory, Springer, 1995.
9. Y. Freund and R.E. Shapire, "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting," J. Computer System Sciences, vol. 55, 1997, pp. 119-139.
10. S. Mallat, "A Theory for Multiresolution Signal Decomposition: The Wavelet Representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 7, 1989, pp. 674-693.
11. M. Grzegorzek and H. Niemann, "Statistical Object Recognition Including Color Modeling," Proc. 2nd Int'l Conf. Image Analysis and Recognition, M. Kamel, and A. Campilho eds. LNCS 3656, Springer-Verlag, 2005, pp. 481-489.
12. S. Nene, S. Nayar, and Murase, "Columbia Object Image Library," tech. reports CUCS–005–96 and CUCS–006–96, Dept. for Computer Science, Columbia Univ., 1996.
13. R. Maree et al., "Decision Trees and Random Subwindows for Object Recognition," Proc. ICML Workshop Machine Learning Techniques for Processing Multimedia Content, 2005.
14. S. Goodall et al., "Sculpteur: Multimedia Retrieval for Museums," Proc. 3rd Int'l Conf. Image and Video Retrieval (CIVR), 2004, pp. 638-646.
15. L. Aroyo et al., "Personalized Museum Experience: The Rijksmuseum Use Case," Proc. Museums and the Web, 2007.
16. T. Liu, T. Tan, and Y. Chu, "The Ubiquitous Museum Learning Environment: Concept, Design, Implementation, and a Case Study," Proc. 6th Int'l Conf. Advanced Learning Technologies, 2006, pp. 989-991.
17. P. Praks et al., "Wavelet and Eigenspace Feature Extraction for Classification of Metallography Images," Proc. European–Japanese Conf. Information Modeling and Knowledge Bases, H. Jaakkola, Y. Kiyoki, and T. Tokuda eds., Juvenes Print-TTY, 2007, pp. 193-202.
17 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool