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Image Informatics Lab
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A lab that approaches the essence of its subjects through every kind of “image,” from ordinary pictures to CT scans.
AboutAbout the lab
Seeing the essence through images.
An “image” here is not limited to a color image. It refers to any pattern of information that represents the features of an object or phenomenon, such as range images, spectral images, and CT and MR images.
The Image Informatics Lab (Image Analysis Group, Academic Center for Computing and Media Studies) comprehensively studies the structure, transformation, and representation of the “images” that appear in various spaces through sensors and computational processing, in order to get at the essence of its subjects.
Key terms
- Computational imaging
- Technology that combines optical system design with computational processing to capture information that ordinary cameras cannot
- Spectral image
- An image captured by separating light by wavelength
- Visualization
- Presenting data or information in a form that can be understood by sight
ResearchResearch themes
The lab's research rests on three pillars: computational imaging, understanding motion and deformation, and visualization and representation.
*Illustrative imageComputational Imaging
The lab treats observation as “encoding” and the extraction of essential structure as “decoding,” and combines techniques such as optical design, electronic control, machine learning, and optimization.
*Illustrative imageUnderstanding Motion and Deformation
Temporal change in images is the key to understanding and predicting phenomena. The lab builds mathematical models of diverse changes, such as motion based on skeletal structure and physical constraints and the deformation of clouds and biological tissue, using geometric and statistical methods.
*Illustrative imageVisualization and Representation
By selecting the necessary information and presenting it as the most suitable “image,” the lab supports new discoveries and decision-making. It also takes on the challenge of conveying “images” not only on 2D displays but also on 3D displays and 3D printers.
MembersFaculty
- ProfessorTakuya Funatomi
- Assistant ProfessorTomoyo Kikuchi
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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: “Cloud vortices off Canary Islands (MODIS )” MODIS Land Rapid Response Team, NASA GSFC / Public domain (cropped)
- Computational Imaging: “Mirrorless Camera Sensor” Nulcheck / CC BY-SA 4.0 (cropped)
- Understanding Motion and Deformation: “Sand and Cloud Swirls off the Canary Islands (MODIS )” MODIS Land Rapid Response Team, NASA GSFC / Public domain (cropped)
- Visualization and Representation: “3d display - Flickr - Nagyman” Craig Nagy from Vancouver, Canada / CC BY-SA 2.0 (cropped)
- Related lab (大規模データ活用基盤 分野): “Groß und klein” Friedrich Haag / CC BY-SA 4.0 (cropped)
- Related lab (教育情報学 分野): “Future School” Rasica03 / CC BY-SA 4.0 (cropped)
- Related lab (認知情報学 分野): “Human eye iris 1” Kamil Saitov / CC BY 4.0 (cropped)
- Related lab (計算神経科学
（連携ユニット） ): “Nyt-Cajal DRAWING m1673-resized-for-web” Santiago Ramón y Cajal / Public domain (cropped)
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