Stylometrics of artwork: Uses and limitations

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7531, Issue , 2010, Pages

  Hughes, James M ^a   Graham, Daniel J ^b   Rockmore, Daniel N ^a,b  

^a Dartmouth College   (United States)

^b Lamont Doherty Earth Observatory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE SPECTRA; ART HISTORIANS; ART IMAGE; COLOR HISTOGRAM; DIGITAL IMAGE ANALYSIS; FACE DETECTION AND RECOGNITION; HISTORICAL ANALYSIS; IMAGE DATA; LEVEL STATISTICS; NONDESTRUCTIVE ANALYSIS; ROBUST CLASSIFICATION; SPARSE CODING; SPATIAL STATISTICS; STYLOMETRY; WORKS OF ART;

CLUSTER ANALYSIS; COMPUTER VISION; DISCRIMINANT ANALYSIS; FORECASTING; IMAGE ANALYSIS; IMAGE RETRIEVAL; REGRESSION ANALYSIS;

FACE RECOGNITION;

EID: 77951576971     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.838849     Document Type: Conference Paper

References (28)

1. Orenstein, N., ed., [Pieter Bruegel - Drawings and Prints], Metropolitain Museum of Art, New York City, and Yale University Press, New Haven (2001).
2. Schatborn, P., [Drawings by Rembrandt, his anonymous pupils, and followers], Rijksmuseum, Amsterdam (1985).
3. Bevers, H., [Rembrandt - Drawings from the Berlin Kupferstichkabinett], Hatje Cantz, Ostfildern (2007).
4. Vogel, C., "An old Spanish master emerges from grime," New York Times (September 9, 2009).
5. Taylor, R., Guzman, R., Martin, T., Hall, G., Micolich, A., Jonas, D., Scannell, B., Fairbanks, M., and Marlow, C., "Authenticating pollock paintings using fractal geometry," Pattern Recognition Letters 28, 695-702 (2007).
6. Stoner, J. H., "Changing Approaches in Art Conservation: 1925 to the present," in [Sackler NAS Colloquium - Scientific Examination of Art: Modern Techniques in Conservation and Analysis], Proceedings of the National Academy of Sciences (2005).
7. Martinez, K., Cupitt, J., Saunders, D., and Pillay, R., "Ten years of art imaging research," Proceedings of the IEEE 90 1, 28-41 (2002).
8. Hughes, J. M., Graham, D. J., and Rockmore, D. N., "Quantification of artistic style through sparse coding analysis in the drawings of Pieter Bruegel the Elder," Proceedings of the National Academy of Sciences (in press).
9. van der Maaten, L. and Postma, E., "Identifying the real van Gogh with brushstroke textons." White paper, Tilburg University (February 2009).
10. Berezhnoy, I., Postma, E., and van den Herik, H., "Authentic: computerized brushstroke analysis," Proc. of the IEEE Conference on Multimedia and Expo , 1586-1588 (2005).
11. C. R. Johnson, J., Hendriks, E., Berezhnoy, I., Brevdo, E., Hughes, S., Daubechies, I., Li, J., Postma, E., and Wang, J., "Image processing for artist identification," IEEE Signal Processing Magazine 37 (July 2008).
12. Olshausen, B. and Field, D., "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature 381, 607-609 (June 1996). (Pubitemid 26177476)
13. Olshausen, B. and Field, D., "Sparse coding with an overcomplete basis set: a strategy employed by V1?," Vision Research 37(23), 3311-3325 (1997). (Pubitemid 27493805)
14. Falk, D., Brill, D., and Stork, D., [Seeing the Light: Optics in nature, photography, color, vision, and holography], Wiley, New York (1986).
15. Graham, D. and Field, D., "Global nonlinear compression of natural luminances in painted art," Proc. of SPIE (2008).
16. Graham, D. and Field, D., "Variations in intensity statistics for representational and abstract art, and for art from the eastern and western hemispheres," Perception 37(9), 1341-1352 (2008).
17. Bucklow, S., "A stylometric analysis of craquelure," Computers and the Humanities 31, 503-521 (1998).
18. Stork, D., "Computer vision and computer graphics analysis of paintings and drawings: an introduction to the literature," in [Lecture Notes in Computer Science - Computer Analysis of Images and Patterns], 5702, 9-24, Springer, Berlin / Heidelberg (2009).
19. Swain, M. and Ballard, D., "Color indexing," International Journal of Computer Vision 7(1), 11-32.
20. van den Herik, H. J. and Postma, E. O., "Discovering the visual signature of painters," in [Future Directions for Intelligent Systems and Information Sciences], 129-147, Springer-Verlag (2000).
21. Field, D., "Relations between the statistics of natural images and the response properties of cortical cells," J. Opt. Soc. Am. A 4 (December 1987).
22. Wallraven, C., Fleming, R., Cunningham, D., Rigau, J., Feixas, M., and Sbert, M., "Categorizing art: Comparing humans and computers," Computers & Graphics 33 (2009).
23. Schneidermann, H. and Kanade, T., "A statistical method for 3d object detection applied to faces and cars," Proc. of the IEEE Conference on Computer Vision and Pattern Recognition 1, 746-751 (2000).
24. "Pittsburgh Pattern Recognition Face Detection online demo," in [http://demo.pittpatt.com/detection demo/], (2009).
25. Sinha, P., Balas, B., Ostrovsky, Y., and Russell, R., "Face Recognition by Humans," in [Face Recognition: Advanced Modeling and Methods], Academic Press (2006).
26. Vaidya, C., Gabrieli, J., Monti, L., Tinklenberg, J., and Yesavage, J., "Dissociation between two forms of conceptual priming in Alzheimer's disease," Neuropsychology 13(4) (1999).
27. Belhumeur, P., Hespanha, J., and Kriegman, D., "Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection," IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (July 1997).
28. Marmor, M., "Ophthalmology and art: Simulation of monet's cataracts and degas' retinal disease," Arch Ophthalmology 124, 1764-1769 (2006). (Pubitemid 44913200)