Abstract
In the past few years, a number of scholars trained in computer vision, pattern recognition, image processing, computer graphics, and art history have developed rigorous computer methods for addressing an increasing number of problems in the history of art. In some cases, these computer methods are more accurate than even highly trained connoisseurs, art historians and artists. Computer graphics models of artists’ studios and subjects allow scholars to explore ‘‘what if’’ scenarios and determine artists’ studio praxis. Rigorous computer ray-tracing software sheds light on claims that some artists employed optical tools. Computer methods will not replace tradition art historical methods of connoisseurship but enhance and extend them. As such, for these computer methods to be useful to the art community, they must continue to be refined through application to a variety of significant art historical problems.
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References
Pelagotti, A., Mastio, A.D., Rosa, A.D., Piva, A.: Multispectral imaging of paintings. IEEE Signal Processing Magazine 25(4), 27–36 (2008)
Martinez, K., Cupitt, J., Saunders, D., Pillay, R.: Ten years of art imaging research. Proceedings of the IEEE 90(1), 28–41 (2002)
Barni, M., Pelagotti, A., Piva, A.: Image processing for the analysis and conservation of paintings: Opportunities and challenges. IEEE Signal Processing Magazine 22(5), 141–144 (2005)
Berezhnoy, I.E., Postma, E.O., van den Herik, J.: Computer analysis of van Gogh’s complementary colours. Pattern Recognition Letters 28(6), 703–709 (2006)
Maitre, H., Schmitt, F., Lahanier, C.: 15 years of image processing and the fine arts. In: Proceedings International Conference on Image Processing (ICIP), vol. 1, pp. 557–561 (2001)
Stork, D.G., Coddington, J. (eds.): Computer image analysis in the study of art, vol. 6810. SPIE/IS&T, Bellingham (2008)
Stork, D.G., Coddington, J., Bentkowska-Kafel, A. (eds.): Computer vision and image analysis of art. SPIE/IS&T, Bellingham (forthcoming, 2010)
Kirsh, A., Levenson, R.S.: Seeing through paintings: Physical examination in art historical studies. Yale U. Press, New Haven (2000)
Stork, D.G.: Computer vision, image analysis and master art, Part I. IEEE Multimedia 13(3), 16–20 (2006)
Stork, D.G., Johnson, M.K.: Computer vision, image analysis and master art, Part II. IEEE Multimedia 14(3), 12–17 (2006)
Stork, D.G., Duarte, M.: Computer vision, image analysis and master art, Part III. IEEE Multimedia 14(1), 14–18 (2007)
Stork, D.G.: Imaging technology enhances the study of art. Vision Systems Design 12(10), 69–71 (2007)
van de Wetering, E.: Thirty years of the Rembrandt Research Project: The tension between science and connoisseurship in authenticating art. IFAR Journal 4(2), 14, 24 (2001)
Leung, H., Wong, S.T.S., Ip, H.H.S.: In the name of art. IEEE Signal Processing Magazine 25(4), 49–52 (2008)
Huang, X., Mohan, A., Tumblin, J.: Deep shadows in a shallow box. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681003–1–9. IS&T/SPIE, Bellingham (2008)
Berezhnoy, I.E., Postma, E.O., van den Herik, H.J.: Computerized visual analysis of paintings. In: Proceedings of the 16th International Conference of the Association for History and Computing, Amsterdam, The Netherlands, pp. 28–32. Royal Netherlands Academy of Arts and Sciences (2005)
Berns, R.S.: Rejuvenating Seurat’s palette using color and imaging science: A simulation. In: Herbert, R.L. (ed.) Seurat and the making of La Grande Jatte, pp. 214–227. Art Institute of Chicago, Chicago (2004)
Zhao, Y., Berns, R.S., Taplin, L.A., Coddington, J.: An investigation of multispectral imaging for the mapping of pigments in paintings. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681007–1–9. IS&T/SPIE, Bellingham (2008)
Martinez, K., Goodall, M.: Colour clustering analysis for pigment identification. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681008–1–8. IS&T/SPIE, Bellingham (2008)
Pappas, M., Pitas, I.: Digital color restoration of old paintings. IEEE Transactions on Image Processing 9(2), 291–294 (2000)
Chahine, H., Cupitt, J., Saunders, D., Martinez, K.: Investigation and modelling of color change in paintings during conservation treatment. In: Imaging the past: Electronic imaging and computer graphics in museums and archaeology. Occasional papers of the British Museum, vol. 114, pp. 23–33 (1996)
Mastio, A.D., Piva, A., Barni, M., Cappellini, V., Stefanini, L.: Color transplant for reverse ageing of faded artworks. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681006–1–12. IS&T/SPIE, Bellingham (2008)
Verri, G., Comelli, D., Cather, S., Saunders, D., Piqué, F.: Post-capture data analysis as an aid to the interpretation of ultraviolet-induced fluorescence images. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681002–1–12. IS&T/SPIE, Bellingham (2008)
Easton Jr., R.L., Knox, K.T., Christens-Barry, W.A.: Multispectral imaging of the Archimedes palimpsest. In: Proceedings of the 32nd Applied Imagery Pattern Recognition Workshop, AIPR 2003, El Segundo, CA, pp. 111–116. IEEE, Los Alamitos (2003)
Netz, R., Noel, W.: The Archimedes Codex: How a Medieval prayer book is revealing the true genius of Antiquity’s greatest scientist. Da Capo Press, Philadelphia (2007)
Knox, K.T.: Enhancement of overwritten text in the Archimedes Palimpset. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681004–1–11. IS&T/SPIE, Bellingham (2008)
Walvoord, D., Bright, A., Easton Jr., R.L.: Multispectral processing of combined visible and x-ray fluoroescence imagery in the Archimedes palimpsest. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681004–1–11. IS&T/SPIE, Bellingham (2008)
Walvoord, D., Easton Jr., R.L.: Digital transcription of the Archimedes palimpsest. IEEE Signal Processing Magazine 25(4), 100–104 (2008)
Minturn, K.: Digitally-enhanced evidence: MoMA’s reconfiguration of Namuth’s Pollock. Visual Resources 17(1), 127–145 (2001)
Falk, D., Brill, D., Stork, D.: Seeing the Light: Optics in nature, photography, color, vision and holography. Wiley, New York (1986)
Graham, D.J., Field, D.: Global nonlinear compression of natural luminances in painted art. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100K–1–11. IS&T/SPIE, Bellingham (2008)
Graham, D.J., 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)
Stork, D.G., Meador, S., Noble, P.: Painted or printed? Correlation analysis of the brickwork in Jan van den Heyden’s View of Oudezijds Voorburgwal and the Oude Kerk in Amsterdam. In: Rogowitz, B.E., Pappas, T.N. (eds.) Electronic Imaging: Human vision and electronic imaging XIV, vol. 7240, pp. 72401O1–10. SPIE/IS&T, Bellingham (2009)
Lettner, M., Diem, M., Sablatnig, R., Kammerer, P., Miklas, H.: Registration of multi-spectral manuscript images as prerequisite for computer aided script description. In: Grabner, M., Grabner, H. (eds.) Proceedings of the 12th Computer Vision Winter Workshop, St. Lambrecht, Austria, pp. 51–58 (2007)
Ketelsen, T., Simon, O., Reiche, I., Merchel, S., Stork, D.G.: Evidence for mechanical (not optical) copying and enlarging in Jan van Eyck’s Portrait of Niccolò Albergati. In: Optical Society of American Annual Meeting, Rochester, NY, OSA (2004)
Criminisi, A., Stork, D.G.: Did the great masters use optical projections while painting? Perspective comparison of paintings and photographs of Renaissance chandeliers. In: Kittler, J., Petrou, M., Nixon, M.S. (eds.) Proceedings of the 17th International Conference on Pattern Recognition, vol. IV, pp. 645–648 (2004)
Duarte, M., Stork, D.G.: Image contour fidelity analysis of mechanically aided enlargements of Jan van Eyck’s Portrait of Cardinal Niccolò Albergati. Leonardo 42 (in press, 2009)
Lettner, M., Sablatnig, R.: Estimating the original drawing trace of painted strokes. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100C–1–10. IS&T/SPIE, Bellingham (2008)
Noble, P., Stork, D.G.: Jan van der Heyden’s View of Oudezijds Voorburgwal and the Oude Kerk in Amsterdam, examined and restored (submitted, 2010)
Damisch, H.: The origin of perspective. MIT Press, Cambridge (1995)
Criminisi, A., Kemp, M., Zisserman, A.: Bringing pictorial space to life: Computer techniques for the analysis of paintings. In: Bentkowska-Kafel, A., Cashen, T., Gardner, H. (eds.) Digital art history: A subject in transition, pp. 77–100. Intellect Books, Bristol (2005)
Criminisi, A.: Machine vision: The answer to the optical debate? Optical Society of American Annual Meeting, Rochester, NY (abstract) (2004)
Kemp, M., Criminisi, A.: Computer vision and painter’s vision in Italian and Nederlandish art of the fifteenth century. In: Carpo, M., Lemerle, F. (eds.) Perspective, projections and design technologies of architectural representation, pp. 31–46. Routledge, New York (2008)
Kemp, M., Criminisi, A.: Paolo Uccello’s ‘Rout of San Romano’: Order from chaos. NEW Magazine 1(1), 99–104 (2005)
Smith, B., Stork, D.G., Zhang, L.: Three-dimensional reconstruction from multiple reflected views within a realist painting: An application to Scott Fraser’s Three way vanitas. In: Beraldin, J.A., Cheok, G.S., McCarthy, M., Neuschaefer-Rube, U. (eds.) Electronic imaging: 3D imaging metrology, vol. 7239, pp. 72390U1–10. SPIE/IS&T, Bellingham (2009)
Hockney, D., Falco, C.M.: Quantitative analysis of qualitative images. In: Electronic Imaging. SPIE Press, Bellingham (2005)
Criminisi, A.: Accurate visual metrology from single and multiple uncalibrated images. ACM Distinguished Dissertation Series. Springer, London (2001)
Stork, D.G.: Were optical projections used in early Renaissance painting? A geometric vision analysis of Jan van Eyck’s Arnolfini portrait and Robert Campin’s Mérode Altarpiece. In: Latecki, L.J., Mount, D.M., Wu, A.Y. (eds.) SPIE Electronic Imaging: Vision Geometry XII, pp. 23–30. SPIE, Bellingham (2004)
Stork, D.G.: Optics and the old masters revisited. Optics and Photonics News 15(3), 30–37 (2004)
Stork, D.G.: Optics and realism in Renaissance art. Scientific American 291(6), 76–84 (2004)
Stork, D.G.: Did Jan van Eyck build the first ‘photocopier’ in 1432? In: Eschbach, R., Marcu, G.G. (eds.) SPIE Electronic Imaging: Color Imaging IX: Processing, Hardcopy and Applications, pp. 50–56. SPIE, Bellingham (2004)
Stork, D.G.: Did Hans Memling employ optical projections when painting Flower still-life? Leonardo 38(2), 57–62 (2005)
Stork, D.G.: Asymmetry in ‘Lotto carpets’ and implications for Hockney’s optical projection theory. In: Rogowitz, B.E., Pappas, T.N., Daly, S.J. (eds.) SPIE Electronic Imaging: Human vision and electronic imaging X, vol. 5666, pp. 337–343. SPIE, Bellingham (2005)
Stork, D.G.: Optique et réalisme dans l’art de la Renaissance. Revue Pour la Science 327, 74–86 (2005)
Stork, D.G.: Spieglein, Spieglein and der Wand. Spektrum der Wissenschaft: Forschung und Technik in der Renaissance Spezial 4/2004(4), 58–61 (2005)
Stork, D.G.: Mathematical foundations for quantifying shape, shading and cast shadows in realist master drawings and paintings. In: Ritter, G.X., Schmalz, M.S., Barrera, J., Astola, J.T. (eds.) SPIE Electronic Imaging: Mathematics of data/image pattern recognition, compression and encryption with applications IX, vol. 6314, pp. 63150K–1–6. SPIE, Bellingham (2006)
Tyler, C.W.: ‘Rosetta stone?’ Hockney, Falco and the sources of ‘opticality’ in Renaissance art. Leonardo 37(5), 397–401 (2004)
Kulkarni, A., Stork, D.G.: Optical or mechanical aids to drawing in the early Renaissance? A geometric analysis of the trellis in Robert Campin’s Mérode Altarpiece. In: Niel, K.S., Fofi, D. (eds.) SPIE Electronic Imaging: Machine vision applications II, vol. 7251, pp. 72510R1–9. SPIE/IS&T, Bellingham (2009)
Leeman, F.: Hidden images: Games of perception, anamorphic art, and illusion. Abrams, New York (1976)
Baltrušaitis, J.: Anamorphic art. Abrams, New York (1977)
Stork, D.G.: Anamorphic art and photography: Deliberate distortions that can be easily undone. Optics and Photonics News 3(11), 8–12 (1992)
Hunt, J.L., Nickel, B.G., Gigault, C.: Anamorphic images. American Journal of Physics 68(3), 232–237 (2000)
DeWeerd, A.J., Hill, S.E.: Comment on ‘Anamorphic images,’ by J. L. Hunt, B. G. Nickel and Christian Gigault. American Journal of Physics 74(1), 83–84 (2006)
Farid, H.: Reconstructing ancient Egyptian tombs. In: Fisher, B., Dawson-Howe, K., Sullivan, C.O. (eds.) Virtual and augmented architecture: The international symposium on virtual and augmented reality, pp. 23–34 (2001)
Farid, H., Farid, S.: Unfolding Sennedjem’s tomb. KMT: A modern journal of ancient Egypt 12(1), 46–59 (2001)
Criminisi, A., Kemp, M., Kang, S.B.: Reflections of reality in Jan van Eyck and Robert Campin. Historical methods 3(37), 109–121 (2004)
Savarese, S., Spronk, R., Stork, D.G., DelPozo, A.: Reflections on praxis and facture in a devotional portrait diptych: A computer analysis of the mirror in Hans Memling’s Virgin and Child and Maarten van Nieuwenhove. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100G–1–10. SPIE/IS&T, Bellingham (2008)
Stork, D.G.: Color and illumination in the Hockney theory: A critical evaluation. In: Proceedings of the 11th Color Imaging Conference (CIC11), Scottsdale, AZ, vol. 11, pp. 11–15. IS&T (2003)
Stork, D.G.: Did Georges de la Tour use optical projections while painting Christ in the carpenter’s studio? In: Said, A., Apolstolopoulos, J.G. (eds.) SPIE Electronic Imaging: Image and video communications and processing, vol. 5685, pp. 214–219. SPIE, Bellingham (2005)
Stork, D.G., Johnson, M.K.: Estimating the location of illuminants in realist master paintings: Computer image analysis addresses a debate in art history of the Baroque. In: Proceedings of the 18th International Conference on Pattern Recognition, Hong Kong, vol. I, pp. 255–258. IEEE Press, Los Alamitos (2006)
Stork, D.G., Johnson, M.K.: Lighting analysis of diffusely illuminated tabeaus in realist paintings: An application to detecting ‘compositing’ in the portraits of Garth Herrick. In: Delp III, E.J., Dittmann, J., Memon, N.D., Wong, P.W. (eds.) Electronic Imaging: Media forensics and security XI, vol. 7254, pp. 72540L1–8. SPIE/IS&T, Bellingham (2009)
Stork, D.G.: Locating illumination sources from lighting on planar surfaces in paintings: An application to Georges de la Tour and Caravaggio. In: Optical Society of American Annual Meeting, Rochester, NY. Optical Society of America (2008)
Kale, D., Stork, D.G.: Estimating the position of illuminants in paintings under weak model assumptions: An application to the works of two Baroque masters. In: Rogowitz, B.E., Pappas, T.N. (eds.) Electronic Imaging: Human vision and electronic imaging XIV, vol. 7240, pp. 72401M1–12. SPIE/IS&T, Bellingham (2009)
Duda, R.O., Hart, P.E., Stork, D.G.: Pattern classification, 2nd edn. John Wiley and Sons, New York (2001)
Johnson, M.K., Stork, D.G., Biswas, S., Furuichi, Y.: Inferring illumination direction estimated from disparate sources in paintings: An investigation into Jan Vermeer’s Girl with a pearl earring. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100I–1–12. SPIE/IS&T, Bellingham (2008)
Stork, D.G., Furuichi, Y.: Image analysis of paintings by computer graphics synthesis: An investigation of the illumination in Georges de la Tour’s Christ in the carpenter’s studio. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100J–1–12. SPIE/IS&T, Bellingham (2008)
Berezhnoy, I.E., Postma, E.O., van den Herik, H.J.: AUTHENTIC: Computerized brushstroke analysis. In: International Conference on Multimedia and Expo., Amsterdam, The Netherlands, vol. 6, pp. 1586–1588. IEEE Press, Los Alamitos (2005)
Jones-Smith, K., Mathur, H.: Fractal analysis: Revisiting Pollock’s drip paintings. Nature 444, E9–E10 (2006)
Li, J., Wang, J.Z.: Studying digital imagery of ancient paintings by mixtures of stochastic models. IEEE Transactions on Image Processing 13(3), 340–353 (2004)
Lyu, S., Rockmore, D., Farid, H.: A digital technique for art authentication. Proceedings of the National Academy of Sciences 101(49), 17006–17010 (2004)
Melzer, T., Kammerer, P., Zolda, E.: Stroke detection of brush strokes in portrait miniatures using a semi-parametric and a model based approach. In: Proceedings of the 14th International Conference on Pattern Recognition, vol. 1, pp. 474–476 (1998)
Sablatnig, R., Kammerer, P., Zolda, E.: Hierarchical classification of painted portraits using face- and brush stroke models. In: Jain, A.K., Venkatesh, S., Lovell, B.C. (eds.) Proceedings of the 14th International Conference on Pattern Recognition, vol. I, pp. 172–174. IEEE Press, Los Alamitos (1998)
Wang, J.Z., Wiederhold, G., Firschein, O., Wei, S.X.: Content-based image indexing and searching using Daubechies’ wavelets. International Journal on Digital Libraries 1(4), 311–328 (1998)
Kammerer, P., Lettner, M., Zolda, E., Sablatnig, R.: Identification of drawing tools by classification of textural and boundary features of strokes. Pattern Recognition Letters 28(6), 710–718 (2007)
Tastl, I., Sablatnig, R., Kropatsch, W.G.: Model-based classification of painted portraits. In: Pinz, A. (ed.) Pattern Recognition 1996: Proceedings of the 20th ÖAGM Workshop. OCG Schriftenreihe, vol. 90, pp. 237–250. Oldenbourg Wien, München (1996)
Sablatnig, R., Kammerer, P., Zolda, E.: Structural analysis of paintings based on brush strokes. In: McCrone, W.C., Weiss, R.J. (eds.) Fakebusters: Scientific detection of fakery in art, Hansen, Stoughton, Massachusetts, pp. 222–244 (1999)
Kammerer, P., Zolda, E., Sablatnig, R.: Computer aided analysis of underdrawings in infrared reflectograms. In: Arnold, D., Chalmers, A., Nicolucci, F. (eds.) Proceedings of the 4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, Brighton, United Kingdom, pp. 19–27 (2003)
Lettner, M., Kammerer, P., Sablatnig, R.: Texture analysis of painted strokes. In: Burger, W., Scharinger, J. (eds.) Digital Imaging in Media and Education, Proceedings of the 28th Workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), Hagenberg, Austria, vol. 179, pp. 269–276. Schriftenreihe der OCG (2004)
Lettner, M., Sablatnig, R.: Texture based drawing tool classification in infrared reflectograms. In: Hanbury, A., Bischof, H. (eds.) Proceedings of the 10th Computer Vision Winter Workshop, Zell an der Pram, Austria, pp. 63–72 (2005)
Lettner, M., Sablatnig, R.: Texture based drawing tool classification. In: Chetverikov, D., Czuni, L., Vinzce, M. (eds.) Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition, Proceedings of the 29th Workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR), vol. 189, pp. 171–178. Schriftenreihe der OCG (2005)
Lettner, M., Sablatnig, R.: Stroke trace estimation in pencil drawings. In: Arnold, D., Chalmers, A., Nicolucci, F. (eds.) Proceedings of the 8th International Symposium on Virtual Reality, Archaeology and Cultural Heritage, Brighton, UK, pp. 43–47 (2007)
Vill, M.C., Sablatnig, R.: Drawing tool recognition by stroke ending analysis. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100B–1–11. IS&T/SPIE, Bellingham (2008)
van den Herik, H.J., Postma, E.O.: Discovering the visual signature of painters. In: Kasabov, N. (ed.) Future directions for intelligent systems and information sciences: The future of image technologies, brain computers, WWW and bioinformatics, pp. 129–147. Physica-Verlag, Heidelberg (2000)
Vill, M.C., Sablatnig, R.: Stroke ending shape features for stroke classification. In: Perš, J. (ed.) Proceedings of the Computer Vision Winter Workshop 2008, Moravske Toplice, Slovenia, pp. 91–98 (2008)
Johnson, C.R., Hendriks, E., Berezhnoy, I.J., Brevdo, E., Hughes, S.M., Daubechies, I., Li, J., Postma, E., Wang, J.Z.: Image processing for artist identification. IEEE Signal Processing magazine 25(4), 37–48 (2008)
Hedges, S.B.: A method for dating early books and prints using image analysis. Proceedings of the Royal Society A 462(2076), 3555–3573 (2006)
Hedges, S.B.: Image analysis of Renaissance copperplate prints. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 681009–1–20. IS&T/SPIE, Bellingham (2008)
Shahram, M., Stork, D.G., Donoho, D.: Recovering layers of brushstrokes through statistical analysis of color and shape: An application to van Gogh’s Self portrait with grey felt hat. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100D–1–8. SPIE/IS&T, Bellingham (2008)
Mandelbrot, B.: The fractal geometry of nature. W. H. Freeman, New York (1982)
Taylor, R.P., Micolich, A.P., Jonas, D.: Fractal analysis of Pollock’s drip paintings. Nature 399, 422 (1999)
Coddington, J., Elton, J., Rockmore, D., Wang, Y.: Multifractal analysis and authentication of Jackson Pollock’s paintings. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100F–1–12. IS&T/SPIE, Bellingham (2008)
Alvarez-Ramirez, J., Ibarra-Valdez, C., Rodríguez, E., Dagdug, L.: 1/f-noise structures in Pollock’s drip paintings. Physica A 387(1), 281–295 (2008)
Fernandez, D., Wilkins, A.J.: Uncomfortable images in art and nature. Perception 37(7), 1098–1113 (2008)
Graham, D.J., Field, D.: Statistical regularities of art images and natural scenes: Spectra, sparseness and nonlinearities. Spatial vision 21(1-2), 149–164 (2007)
Mureika, J.R., Dyer, C.C., Cupchik, G.C.: On multifractal structure in non-representational art. Physical Review 72(4), 046101 (2005)
Redies, C., Hasenstein, J., Denzler, J.: Fractal-like image statistics in visual art: Similarity to natural scenes. Spatial Vision 21(1-2), 137–148 (2007)
Irfan, M., Stork, D.G.: Multiple visual features for the computer authentication of Jackson Pollock’s drip paintings: Beyond box-counting and fractals. In: Niel, K.S., Fofi, D. (eds.) SPIE Electronic Imaging: Machine vision applications II, vol. 7251, pp. 72510Q1–11. SPIE/IS&T, Bellingham (2009)
Stork, D.G.: Learning-based authentication of Jackson Pollock’s paintings. SPIE Professional (2009)
Hockney, D., Falco, C.M.: Optical insights into Renaissance art. Optics and Photonics News 11(7), 52–59 (2000)
Hockney, D.: Secret knowledge: Rediscovering the lost techniques of the old masters. Viking Studio, New York (2001)
Steadman, P.: Vermeer’s camera: Uncovering the truth behind the masterpieces. Oxford U. Press, Oxford (2002)
Stork, D.G.: Did early Renaissance painters trace optical projections? Evidence pro and con. In: Latecki, L.J., Mount, D.M., Wu, A.Y. (eds.) SPIE Electronic Imaging: Vision geometry XIII, vol. 5675, pp. 25–31. SPIE, Bellingham (2005)
Stork, D.G.: Tracing the history of art: Review of Early Science and Medicine: Optics, instruments and painting, 1420-1720: Reflections on the Hockney-Falco theory. Nature 438(7070), 916–917 (2005)
Stork, D.G., Duarte, M.: Revisiting computer image analysis and art. IEEE Multimedia 14(3), 108–109 (2007)
Tyler, C.W., Stork, D.G.: Did Lorenzo Lotto use optical projections when painting Husband and wife? In: Optical Society of American Annual Meeting, Rochester, NY, Optical Society of America (2004)
Dupré, S. (ed.): Early Science and Medicine: A Journal for the Study of Science, Technology and Medicine in the Pre-modern Period: Optics, instruments and painting 1420–1720: Reflections on the Hockney-Falco Thesis, vol. X(2). Brill Academic Publishers, Leiden (2005)
Lüthy, C.: Reactions of historians of science and art to the Hockney thesis. In: Summary of the European Science Foundation’s conference of 12–15 November, 2003. Optical Society of American Annual Meeting, Rochester, NY (Abstract) (2004)
Stork, D.G.: Aberration analysis of the putative projector for Lorenzo Lotto’s Husband and wife. In: Optical Society of American Annual Meeting, San Jose, CA (Abstract) (2007)
Robinson, M.D., Stork, D.G.: Aberration analysis of the putative projector for Lorenzo Lotto’s Husband and wife: Image analysis through computer ray-tracing. In: Stork, D.G., Coddington, J. (eds.) Computer image analysis in the study of art, vol. 6810, pp. 68100H–1–11. SPIE/IS&T, Bellingham (2008)
Abas, F.S., Martinez, K.: Craquelure analysis for content-based retrieval. In: Proceedings of the 14th Conference on Digital Signal Processing, Santorini, Greece, pp. 111–114 (2002)
Abas, F.S.: Analysis of craquelure patterns for content-based retrieval. Ph.D. thesis, University of Southampton, Southampton, UK (2004)
Bucklow, S.: A stylometric analysis of craquelure. Computers and Humanities 31(6), 503–521 (1998)
Colagrossi, A., Sciarrone, F., Seccaroni, C.: A method for automating the classification of works of art using neural networks. Leonardo 36(1), 69–96 (2003)
Heitz, F., Maitre, H., de Couessin, C.: Application of autoregressive models to fine arts painting analysis. Signal Processing 13(1), 1–14 (1987)
Remondino, F., El-Hakim, S.F., Grün, A., Zhang, L.: Turning images into 3-D models. IEEE Signal Processing magazine 25(4), 55–65 (2008)
Stork, D.G., Furuichi, Y.: Computer graphics synthesis for interring artist studio practice: An application to Diego Velázquez’s Las meninas. In: McDowall, I.E., Dolinsky, M. (eds.) Electronic imaging: The engineering reality of virtual reality, vol. 7238, pp. 7238061–9. SPIE/IS&T, Bellingham (2009)
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Stork, D.G. (2009). Computer Vision and Computer Graphics Analysis of Paintings and Drawings: An Introduction to the Literature. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_2
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DOI: https://doi.org/10.1007/978-3-642-03767-2_2
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