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Computational Imaging Lab
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The lab designs optics and computation together to create new visual systems.
AboutAbout the lab
Capturing the world. Creating the world.
The Computational Imaging Lab studies the co-design of applied optics and computer science to create new visual systems for machines and artificial intelligence.
Its research rests on two pillars: "Capture (Imaging)," which observes and understands the world, and "Create (Graphics)," which generates and represents scenes.
In "Capture," the lab combines sensors such as event cameras, polarization, and thermal infrared with modulated or structured illumination to extract information that was previously invisible, such as shape, reflectance properties, and materials.
In "Create," the lab generates images and structures from measured data and virtual models, and works on reproducing textures through digital fabrication.
Key terms
- Computational imaging
- An imaging approach that designs optics, sensors, and computation together to extract information that conventional cameras cannot capture
- Event camera
- A camera that outputs data called "events." The lab uses it for shape measurement and video reconstruction
- Digital fabrication
- Technology for making objects through computer-controlled fabrication. The lab uses it to reproduce textures such as wood surfaces
- Gaussian Splatting
- A method for synthesizing scenes. The lab combines it with long-wave infrared images to synthesize thermodynamic phenomena
NewsLab news
Recruitment of students for FY2026 (graduate school and undergraduate lab assignment) has begun
The paper "PS-EIP" was accepted to CVPR 2025
A student received the Student Encouragement Award (Poster Category) at VGSW 2025
A paper on ToF imaging using polarization modulation was published in Sensors
Research on surface normal estimation received the Audience Award at MIRU 2024
ResearchResearch themes
The Computational Imaging Lab aims to design optics, sensors, and computation as a single system and to create new visual systems for machines and artificial intelligence. Centered on computational imaging with event cameras, its research extends to measuring shape and texture, applications to visual inspection, and scene synthesis.
*Illustrative imageShape and reflectance measurement with event cameras
The lab uses event cameras under moving light sources or temporally modulated illumination. It works on photometric stereo based on the intervals between events, and on two-wavelength photometry using temporally modulated illumination.
*Illustrative imageVisual inspection with event cameras
By combining event cameras with computational imaging, the lab aims to enable visual inspection of glossy and transparent objects. It is also working toward practical use.
*Illustrative imageMeasuring shape and texture with a multi-mirror system
By combining the virtual multiple viewpoints created by an elliptical multi-mirror with structured illumination, the lab simultaneously measures the shape and reflectance properties of objects.
*Illustrative imageSpatiotemporal synthesis of thermal phenomena
Using long-wave infrared (LWIR) images and Gaussian Splatting, the lab synthesizes thermodynamic phenomena in both time and space.
MembersFaculty
The members of the Computational Imaging Lab consist of faculty members, graduate students, and undergraduate students.As of 2026
- Assistant ProfessorTsuyoshi Takatani
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Zeiss Batis Sonnar F1.8 85” Franz van Duns / CC BY-SA 4.0 (cropped)
- Shape and reflectance measurement with event cameras: “Prophesee Event Camera Evaluation Kit” Auledas / CC BY 4.0 (cropped)
- Visual inspection with event cameras: “Sipotek-Visual-Inspection-Machine-49” Usan34 / CC BY-SA 4.0 (cropped)
- Measuring shape and texture with a multi-mirror system: “Kaleidoscope-abc” Koperczak / CC BY 3.0 (cropped)
- Spatiotemporal synthesis of thermal phenomena: “Leicester Square, London, in Thermal Infrared ( )” David Skinner / CC BY 2.0 (cropped)
- Related lab (Applied Haptics Lab): “Virtual reality headset and wired gloves, Ames Research Center” National Aeronautics and Space Administration. / Public domain (cropped)
- Related lab (Energy Risk Lab): “Electrical grid and power plants” Wikideas1 / CC0 (cropped)
- Related lab (Acoustic Systems Lab [Communications, Agricultural Facilities, ICT Construction] (Communication Systems Lab)): “Scuba diver SCTLD antibiotic paste” Joe Snyder/NOAA / Public domain (cropped)
- Related lab (Nakao Lab): “Plate tectonics map” nagualdesign / Public domain (cropped)
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