Computer analysis reveals similarities between the artistic styles of Van Gogh and Pollock

Leonardo

Volumn 45, Issue 2, 2012, Pages 149-154

  Shamir, Lior ^a  

^a LAWRENCE TECHNOLOGICAL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84857765560     PISSN: 0024094X     EISSN: None     Source Type: Journal    
DOI: 10.1162/LEON_a_00281     Document Type: Article

References (47)

1. S. Zeki, Inner Vision, Oxford University Press, Oxford, UK (1999).
2. R.L. Solso, "The Cognitive Neuroscience of Art: A Preliminary fMRI Observation," Journal of Consciousness Studies, 7 (2000), pp. 75-86.
3. R.L. Solso. "Brain Activities in a Skilled versus a Novice Artist: An fMRI Study," Leonardo 34, No. 1, 31-34 (2001).
4. J. Bhattacharya, H. Petsche, "Shadows of artistry: Cortical synchrony during perception and imagery of visual art," Cognitive Brain Research, 13 (2000) pp. 179-186.
5. R. Arnheim, Art and Visual Perception, University of California Press, Berkeley, CA (1954).
6. R.L. Solso, Cognition and the Visual Arts, MIT Press, Cambridge, MA (1994).
7. R. Latto, "The Brain of the Beholder," in The Artful Eye, Gregory, R.L., Harris, S., eds. Oxford University Press, Oxford, UK (1995).
8. S. Zeki, Inner Vision, Oxford University Press, Oxford, UK (1999)p. 11.
9. V.S. Ramachandran, W. Hirstein, "The Science of Art: A neurological theory of aesthetic experience," Journal of Consciousness Studies, 6 (1999) pp. 15-51.
10. J.H. Van Den Herik, E.O. Postma, "Discovering the visual signature of painters," in Kasabov, N. (ed.), Future directions for intelligent systems and information sciences. The future of speech and image technologies, brain computers, WWW, and bioinformatics, Physica Verlag (Springer-Verlag), Heidelberg, Germany (2000) pp.129-147.
11. J. Li, J. Wang, "Studying Digital Imagery of Ancient Paintings by Mixtures of Stochastic Models," IEEE Transactions on Image Processing 13 (2004) pp. 340-353.
12. I. Widjaja, W.K. Leow, F.C. Wu, "Identifying Painters from Color Profiles of Skin Patches in Painting Images," in: Proceedings of the International Conference on Image Processing, 1 (2003) pp. 845-848.
13. D. Keren, "Painter Identification Using Local Features and Naive Bayes," in: Proceeding of the 16th International Conference on Pattern Recognition, 2 (2002) pp. 474-477.
14. P. Kammer et al., "Identification of Drawing Tools by Classification of Textural and Boundary Features of Strokes," Pattern Recognition Letters 28 (2007) pp. 710-718.
15. K. Barnard, D.A. Forsyth, "Clustering Art," in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition 2 (2001) pp. 434-439.
16. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) 8.
17. R.P. Taylor, A.P. Micolich, D. Jonas, "Fractal Analysis of Pollock's Drip Paintings," Nature 399 (1999) 422.
18. R.P Taylor et al., "Authenticating Pollock Paintings Using Fractal Geometry," Pattern Recognition Letters 28 (2007) 695-702.
19. R.P. Taylor, A.P. Micolich, D. Jonas, "The Construction of Jackson Pollock's Fractal Drip Paintings," Leonardo 35 (2002) pp. 203-207.
20. R.P. Taylor, A.P. Micolich, D. Jonas, "Fractal Analysis: Revisiting Pollock's Drip Paintings," Nature 444 (2006) pp. E10-E11.
21. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) p. 3.
22. L. Shamir, "Evaluation of Face Datasets As Tools for Assessing the Performance of Face Recognition Methods," International Journal of Computer Vision 79 (2008) pp. 225-230.
23. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010). 3.
24. L. Shamir et al., "Wndchrm-An Open Source Utility for Biological Image Analysis," BMC-Source Code for Biology and Medicine 3 (2008) 13.
25. L. Shamir, N. Orlov, I.G. Goldberg, "Evaluation of the Informativeness of Multi-Order Image Transforms," International Conference on Image Processing Computer Vision and Pattern Recognition (2009) pp. 37-42.
26. L. Shamir, "Human Perception-Based Color Segmentation Using Fuzzy Logic," International Conference on Image Processing, Computer Vision and Pattern Recognition, 2 (2006) pp. 496-505.
27. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) p. 4.
28. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) p. 7.
29. L. Shamir et al., "IICBU-2008-A Proposed Benchmark Suite for biological image analysis," Medical & Biological Engineering & Computing 46 (2008) pp. 943-947.
30. C.M. Bishop, Pattern Recognition and Machine Learning. Springer Press (2006).
31. N. Orlov et al., "WND-CHARM: Multi-Purpose Image Classification Using Compound Image Transforms," Pattern Recognition Letters 29 (2008) pp. 1684-1693.
32. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) p. 5.
33. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010) p. 5.
34. M. Felsenstein, PHYLIP Phylogeny Inference Package, Version 36 (2004).
35. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 8.
36. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 6.
37. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 5.
38. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 7.
39. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 7.
40. L. Shamir et al., "Impressionism, Expressionism, Surrealism: Automated Recognition of Painters and Schools of Art," ACM Transactions on Applied Perception 7 (2010)p. 7.
41. L. Shamir et al., "Evaluation of the Informativeness of Multi-Order Image Transforms," International Conference on Image Processing Computer Vision and Pattern Recognition (2009), p. 5.
42. C.M. Wu, Y.C. Chen, K.S. Hsieh, "Texture Features for Classification of Ultrasonic Liver Images," IEEE Trans. Med. Imag. 11 (1992) pp. 141-152.
43. C.C. Chen, J.S. Daponte, M.D. Fox, "Fractal Feature Analysis and Classification in Medical Imaging," IEEE Trans. Med. Imag. 8 (1989) (2), pp. 133-142.
44. Taylor, "Authenticating Pollock Paintings Using Fractal Geometry," Pattern Recognition Letters 28 (2007) p. 699.
45. G.D. Birkhoff, Aesthetic measure, Harvard University Press, Cambridge, MA (1933).
46. X.S. Zheng et al., "Correlating Low-Level Image Statistics with Users' Rapid Aesthetic and Affective Judgments of Web Pages," Proceedings of the ACM Conference on Human Factors in Computing Systems, (2009) pp. 1-10.
47. A. Oliva, A. Torralba, Building the Gist of a Scene: The Role of Global Image Features in Recognition. Progress in Brain Research: Visual perception 155 (2006), pp. 23-36.