David G Stork
Fall CSP Instructor
Continuing Studies and Summer Session
Bio
David G. Stork teaches and performs research in several disciplines:
• Rigorous computer image analysis of fine art paintings and drawings
• Computational sensing and imaging with metasurface optical elements
• Applications of computer algebra
He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College. He was Chief Scientist of the American arm of the $15B international Ricoh Company and Rambus Fellow at Rambus, Inc. He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Computation & Mathematical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna. He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, AAIA, IAII, and a Senior Life Member of ACM and was a 2023 Leonardo@Djerassi Fellow. He holds 64 US patents, and has published over 220 peer-reviewed scholarly articles and nine books/proceedings volumes, including "Pattern classification" (2nd ed.), "Seeing the light: Optics in nature, photography, color, vision, and holography," "HAL's Legacy: 2001's computer as dream and reality," and "Pixels & paintings: Foundations of computer-assisted connoisseurship."
Academic Appointments
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Casual - Other Teaching Staff, Continuing Studies and Summer Session
2024-25 Courses
- Computational Symbolic Mathematics
CME 294, SYMSYS 294 (Win) - Image Processing of Fine Art
EE 292F (Spr) -
Prior Year Courses
2023-24 Courses
- Computational Symbolic Mathematics
CME 294, SYMSYS 294 (Spr) - Image Processing of Fine Art
EE 292F (Spr) - The Fourier Transform and Its Applications
EE 261 (Win)
2022-23 Courses
- Computational Symbolic Mathematics
CME 294 (Win) - Science, Technology, Art
EE 12Q (Spr)
2021-22 Courses
- Statistical Analysis of Fine Art
STATS 281 (Aut)
- Computational Symbolic Mathematics
All Publications
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Computer Vision, ML, and AI in the Study of Fine Art
COMMUNICATIONS OF THE ACM
2024; 67 (5): 68-75
View details for DOI 10.1145/3633454
View details for Web of Science ID 001212274400030
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Deep transfer learning for visual analysis and attribution of paintings by Raphael
HERITAGE SCIENCE
2023; 11 (1)
View details for DOI 10.1186/s40494-023-01094-0
View details for Web of Science ID 001129381700001
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How AI is expanding art history
NATURE
2023; 623 (7988): 685-687
View details for DOI 10.1038/d41586-023-03604-3
View details for Web of Science ID 001116877600016
View details for PubMedID 37989767
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Reflections on Parmigianino's Self portrait in a convex mirror: A computer graphics reconstruction of the artist's studio
SPIE-INT SOC OPTICAL ENGINEERING. 2010
View details for DOI 10.1117/12.840556
View details for Web of Science ID 000283783900016
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Image Contour Fidelity Analysis of Mechanically Aided Enlargements of Jan van Eyck's Albergati Portrait
LEONARDO
2010; 43 (1): 43–50
View details for DOI 10.1162/leon.2010.43.1.43
View details for Web of Science ID 000275263200006
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La Bella Principessa: The Story of a New Masterpiece by Leonardo da Vinci (or Leonardo da Vinci "La Bella Principessa": The Profile Portrait of a Milanese Woman) (Book Review)
VISUAL RESOURCES
2010; 26 (4)
View details for DOI 10.1080/01973762.2010.522397
View details for Web of Science ID 000218225200007
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Inferring Caravaggio's studio lighting and praxis in The calling of St. Matthew by computer graphics modeling
SPIE-INT SOC OPTICAL ENGINEERING. 2010
View details for DOI 10.1117/12.840569
View details for Web of Science ID 000283783900003
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Finding Intrinsic and Extrinsic Viewing Parameters from a Single Realist Painting
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS
2009; 5702: 293-?
View details for Web of Science ID 000273458100036
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Computer graphics synthesis for inferring artist studio practice: An application to Diego Velazquez's Las Meninas
SPIE-INT SOC OPTICAL ENGINEERING. 2009
View details for DOI 10.1117/12.806264
View details for Web of Science ID 000317933000005
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Reconstruction of a Three-Dimensional Tableau from a Single Realist Painting
IEEE COMPUTER SOC. 2009: 9-+
View details for DOI 10.1109/VSMM.2009.7
View details for Web of Science ID 000289587500002
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Recovering layers of brush strokes through statistical analysis of color and shape: An application to van Gogh's Self portrait with grey felt hat
Conference on Computer Image Analysis in the Study of Art
SPIE-INT SOC OPTICAL ENGINEERING. 2008
View details for Web of Science ID 000256175700011
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Artscience: Creativity in the post-Google generation (Book Review)
LEONARDO
2008; 41 (4): 403–4
View details for DOI 10.1162/leon.2008.41.4.403
View details for Web of Science ID 000258253400018
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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
SPIE-INT SOC OPTICAL ENGINEERING. 2008
View details for DOI 10.1117/12.759681
View details for Web of Science ID 000256175700016
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Aberration analysis of the putative projector for Lorenzo Lotto's Husband and wife: Image analysis through computer ray-tracing
SPIE-INT SOC OPTICAL ENGINEERING. 2008
View details for DOI 10.1117/12.768315
View details for Web of Science ID 000256175700014
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Inferring illumination direction estimated from disparate sources in paintings: An investigation into Jan Vermeer's Girl with a pearl earring
SPIE-INT SOC OPTICAL ENGINEERING. 2008
View details for DOI 10.1117/12.759726
View details for Web of Science ID 000256175700015
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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 Niewenhove
SPIE-INT SOC OPTICAL ENGINEERING. 2008
View details for DOI 10.1117/12.761226
View details for Web of Science ID 000256175700013
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Optics & old masters
COMMENTARY
2007; 123 (6): 14
View details for Web of Science ID 000246779700013
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Optics and realism in renaissance art
SCIENTIFIC AMERICAN
2004; 291 (6): 76–83
View details for DOI 10.1038/scientificamerican1204-76
View details for Web of Science ID 000225292200026
View details for PubMedID 15597983