Curriculum
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Descriptions
COMP_SCI 496: Computational Optics


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Prerequisites

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Description

This course will cover a range of topics in vision and graphics, with a focus on computational aspects of modeling, rendering, and image processing. Students will encounter several mathematical representations of how light moves through scenes and optical systems and learn how each of these makes certain kinds of information about the world accessible. The course is half lecture and half student presentations. Students will be assessed on their ability to read, present, and discuss research papers; there will be no midterm or final exam. No specific optics knowledge is required but students should be comfortable with differential equations and linear algebra.

  • Week 1 Introduction Geometrical Optics
  • Week 2 How to give a talk Wave Optics
  • Week 3 Presentation: Geometrical Optics Coherence
  • Week 4 Presentation: Wave Optics Light Fields
  • Week 5 Presentation: Light Field cameras and displays Color
  • Week 6 Presentation: Hyperspectral imaging Coded Imaging
  • Week 7 Presentation: Time of flight imaging Inversion - data driven
  • Week 8 Presentation: Neural radiance fields Inversion - model based
  • Week 9 Presentation: Hybrid inversion Imaging Modalities
  • Week 10 Presentation: Microscopy Optical computation

*This course fulfills the Technical Elective area.

REQUIRED TEXTBOOK: None, readings will be posted on the course websiteone
REFERENCE TEXTBOOKS: Optics by Eugene Hecht, Computational Imaging by Ayush Bhandari, Achuta Kadambi and Ramesh Raskar

COURSE COORDINATORS: Emma Alexander

COURSE INSTRUCTOR: Emma Alexander