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Local Wavelet Features for Statistical Object Classification and Localization
January 2010 (vol. 17 no. 1)
pp. 56-66
Marcin Grzegorzek, University of Koblenz-Landau
Sorin Sav, Dublin City University
Noel E. O'Connor, Dublin City University
Ebroul Izquierdo, Queen Mary, University of London

This article presents a system for texture-based probabilistic classification and localization of 3D objects in 2D digital images and discusses selected applications.

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.
1. Y. Amit, D. Geman, and X. Fan, "A Coarse-to-Fine Strategy for Multi-Class Shape Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 12, 2004, pp. 1606-1621.
2. D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int'l J. Computer Vision, vol. 60, no. 2, 2004, pp. 91-110.
3. A. Torralba, K.P. Murphy, and W.T. Freeman, "Sharing Visual Features for Multiclass and Multiview Object Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 29, no. 5, 2007, pp. 854-869.
4. Y. Jin and S. Geman, "Context and Hierarchy in a Probabilistic Image Model," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2006, pp. 2145-2152.
5. B. Leibe and B. Schiele, "Analyzing Contour and Appearance Based Methods for Object Categorization," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003.
6. D.G. Lowe, "Object Recognition from Local Scale-Invariant Features," Proc. Int'l Conf. Computer Vision (ICCV), 1999, pp. 1150-1157.
7. S. Mahamud and M. Hebert, "The Optimal Distance Measure for Object Detection," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2003.

Index Terms:
object recognition, statistical modeling, wavelet analysis, image processing
Citation:
Marcin Grzegorzek, Sorin Sav, Noel E. O'Connor, Ebroul Izquierdo, "Local Wavelet Features for Statistical Object Classification and Localization," IEEE Multimedia, vol. 17, no. 1, pp. 56-66, Jan. 2010, doi:10.1109/MMUL.2010.16
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