Eigen-image based compression for the image-based relighting with cascade recursive least squared networks

Pattern Recognition

Volumn 37, Issue 6, 2004, Pages 1219-1231

  Wang, Ze ^a   Leung, Chi Sing ^b   Wong, Tien Tsin ^c   Zhu, Yi Sheng ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cascade recursive least squared (CRLS); Data compression; Image based relighting; Principal component analysis; Wavelets

Indexed keywords

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; IMAGE ANALYSIS; LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS; RECURSIVE FUNCTIONS; WAVELET TRANSFORMS;

DATA DIMENSIONS; EIGEN-IMAGES; IMAGE-BASED RELIGHTING (IBL); QUALITY RENDERING;

PATTERN RECOGNITION;

IMAGE PROCESSING;

EID: 2142651556     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.10.009     Document Type: Article

References (26)

1. E.S. Chen, L. Williams, View interpolation for image synthesis, Computer Graphics Proceedings, Annual Conference Series, SIGGRAPH'93, 1993, pp. 279-288.
2. S.E. Chen, QuickTime VR-An image based approach to virtual environment navigation, Computer Graphics, Proceedings, Annual Conference Series, SIGGRAPH'95, 1995, pp. 29-38.
3. T.T. Wong, P.A. Heng, S.H. Or, W.Y. Ng, Image-based rendering with controllable illumination, Proceedings of the Eighth Eurographics Workshop on Rendering, Saint Etienne, France, 1997, pp. 18-22.
4. Wong T.T. Fu C.W. Heng P.A. Interactive relighting of panoramas IEEE Comput. Graphics Appl. 21 2001 32-41
5. Oja E. Neural networks, principal components, and subspaces Int. J. Neural Systems 1 1989 61-68
6. Sanger T.D. Optimal unsupervised learning in a single-layer linear feedback neural network Neural Networks 2 1989 459-473
7. Kung S.Y. Diamantaras K.I. Taur J.S. Adaptive principal component extraction (APEX) and applications IEEE Trans. Signal Process. 42 1994 1202-1217
8. Diamantaras K.I. Kung S.Y. Principal component neural networks: Theory and applications, Adaptive and Learning Systems for Signal Processing, Communications, and Control 1996 Wiley New York
9. Bannour S. Azimi-Sadjadi M.R. Principal component extraction using recursive least squares learning IEEE Trans. Neural Networks 6 1995 457-469
10. Abbas H.M. Fahmy M.M. Neural model for Karhunen-Loéve transform with application to adaptive image compression IEE Proc. I, Commun. Speech Vis. 140 2 1994 135-143
11. Cichocki A. Kasprzak W. Skarbek W. Adaptive learning algorithm for principal component analysis with partial data Proc. Cybernet. Systems 2 1996 1014-1019
12. Costa S. Fiori S. Image compression using principal component neural networks Image Vision Comput. 19 2001 649-668
13. R. Epstein, P.W. Hallinan, A.L. Yuille, 5± 2 eigenimages suffice: An empirical investigation of low-dimensional lighting models, IEEE Workshop on Physics-based Modeling in Computer Vision, 1995, pp. 108-116.
14. P.N. Belhumeur, D.J. Kriegman, What is the set of images of an object under all possible lighting conditions, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1996, pp. 270-277.
15. Shapiro J.M. Embedded image coding using zerotrees of wavelet coefficients IEEE Trans. Signal Process. 41 1993 3445-3462
16. Adelson E.H. Bergen J.R. The plenoptic function and the elements of early vision Landy M.S. Anthony Movshon J. Computational Models of Visual Processing 1991 3-20 MIT Press Cambridge, MA (Chapter 1)
17. L. McMillan, G. Bishop, Plenoptic modeling: An image-based rendering system, Computer Graphics Proceedings, Annual Conference Series, SIGGRAPH'95, 1995, pp. 39-46.
18. Wang Z. Lee Y. Fiori S. Leung C.S. Zhu Y.S. An improved sequential method for principal component analysis Pattern Recognition Lett. 24/9-10 2003 1409-1415
19. Jayant N.S. Noll P. Digital Coding of Waveforms 1984 Prentice-Hall Englewood Cliffs, NJ
20. Joshi R.L., et-al. Comparison of different methods of classification in subband coding of images IEEE Trans. Image Process. 6 1997 1473-1486
21. Wang Z. Lee Y. Leung C.S. Wong T.T. Zhu Y.S. An improved optimal bit allocation method for sub-band coding Pattern Recognition Lett. 24 16 2003 3007-3013
22. Witten I.H. Neal R.M. Cleary J.G. Arithmetic coding for data compression Commun. ACM 30 6 1987 520-540
23. Antonini M. Barlaud M. Mathieu P. Daubechies I. Image coding using wavelet transform IEEE Trans. Image Process. 1 2 1992 205-220
24. Grgic S. Grgic M. Zovko-cihlar B. Performance Analysis of Image Compression Using Wavelets IEEE Trans. Ind. Electron. 48 3 2001 682-695
25. Hall R. Illumination and Color in Computer Generated Imagery 1989 Springer New York
26. Pritchard D.H. U.S. color television fundamentals-a review IEEE Trans. Consumer Electron. CE-23 4 1997 467-478