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Personal profile

Education/Academic qualification

Computer Science, PhD, Columbia University

… → 2011

Media Arts and Sciences, MS, Massachusetts Institute of Technology

… → 2003

Physics, BS, Evergreen State College

… → 2001

Research interests

  • Computational displays
  • Computational imaging
  • Computational photography
  • Computer graphics
  • Computer vision
  • Holography

Fingerprint Dive into the research topics where Oliver Strides Cossairt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Imaging techniques Engineering & Materials Science
Cameras Engineering & Materials Science
Computational Imaging Mathematics
Lighting Engineering & Materials Science
Pigments Engineering & Materials Science
Sensors Engineering & Materials Science
Lenses Engineering & Materials Science
retrieval Physics & Astronomy

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2011 2023

Imaging
Cross Section
Mummies
Microscope
Metropolitan Museum of Art
image analysis
machine learning
costs
maria
computer vision
image analysis
machine learning
maria
computer vision
pattern recognition

Research Output 2003 2019

Maximizing the microscope: Instrument design and data processing strategies for hyperspectral imaging of cross-sectional cultural heritage samples

Males, B., Oakley, L., Cossairt, O. S. & Walton, M. S., Jan 1 2019, Optics for Arts, Architecture, and Archaeology VII. Liang, H., Groves, R. & Targowski, P. (eds.). SPIE, 110580C. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11058).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hyperspectral Imaging
Cultural Heritage
Microscope
Microscopes
Lighting

Multi-frame Super-resolution for Time-of-flight Imaging

Li, F., Ruiz, P., Cossairt, O. S. & Katsaggelos, A. K., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2327-2331 5 p. 8683042. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Imaging techniques
Sensors
Collision avoidance
Navigation
Fabrication

Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks

Rohani, N., Pouyet, E., Walton, M. S., Cossairt, O. S. & Katsaggelos, A. K., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3217-3221 5 p. 8682838. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Painting
Pigments
Deep neural networks

Time-domain optical coherence tomography can measure artworks with high penetration and high resolution

Xu, B., He, K., Hao, P., Gao, J., Willomitzer, F., Katsaggelos, A. K., Tumblin, J. E., Cossairt, O. S. & Walton, M. S., Jan 1 2019, Optics for Arts, Architecture, and Archaeology VII. Liang, H., Groves, R. & Targowski, P. (eds.). SPIE, 110580M. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11058).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Optical Coherence Tomography
Optical tomography
Penetration
Time Domain
Painting
suppression
Imaging techniques
Radiography
Cameras
X rays