Computational Optical Sensing and Imaging (COSI)
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Computational Optical Sensing and Imaging (COSI)
Computational Optical Sensing and Imaging (COSI) showcases the latest innovations in computational sensing and imaging, emphasizing synergistic activities in optics, detectors and signal processing, including machine learning.
Computational sensing and imaging spans processes that tightly combine optics, sensing and processing to acquire task-relevant information. Computational sensing and imaging use strong coupling with computation to provide an operational capability that is impossible to realize using conventional means - it addresses a dimensionality mismatch that reduces the cost of making measurements compared with conventional means.
Presented work will span topics that range from theoretical advances to application of computational sensing and imaging in medicine, defense and industry. Presenters are encouraged to share their experiences relating to theory, systems, algorithms and applications of computational imaging and sensing.
If you are looking to submit your papers for consideration by the COSI committee, please consider submitting to the following referenced topics in the full list of topic categories and identify COSI as your topical of choice:
1. New technologies and phenomena in sensing, image capture and displays
1.3. Terahertz- and mm-wave-based sensing
1.7. Metaoptics for computational imaging
1.8. Quantum-enhanced sensing and imaging
2. System architecture and co-design for sensing, imaging and displays
2.6. Computational imaging and display systems
2.7. Wavefront sensors and correctors
2.8. Spectroscopy and spectral imaging
3. Image and signal processing and computational techniques
3.2. Deep learning and artificial intelligence for image acquisition and display systems
3.3. Event-based systems
3.6. Lensless imaging
3.7. Sparse imaging and unconventional imaging modalities
3.8. Imaging through scattering media
4. Human and machine vision and perception
4.4. Imaging for mobile computing and AR/VR applications
6. Astronomy, space and remote imaging applications
6.2. Space-based telescopes and imaging
7. Biomedical applications
7.2. Imaging technologies for health care
7.6. Point-of-care sensing applications
7.7. Microscopy and endoscopy
8. Guidance, navigation and autonomy applications
8.2. LIDAR and vision for autonomy
Committee Members
- Kristina Monakhova, Cornell University, United States
