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Visual Media Lab
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The lab researches glasses-free 3D displays and machine learning.
AboutAbout the lab
Studying 3D display and machine learning through media engineering
The Visual Media Lab works on 3D displays and machine learning under the theme of media engineering.
The 3D display group studies high-definition glasses-free 3D display and natural 3D display, aimed at applications that require accurate perception of 3D position, such as surgical simulation and robot teleoperation.
The machine learning group works on automatic segmentation of CT images using deep learning, and on classifying, organizing, and visualizing documents about political and social issues.
Key terms
- Glasses-free 3D display
- Displaying images that look three-dimensional without wearing special glasses
- Focus adjustment (accommodation)
- The function by which the eyes adjust their focus according to the distance of the object being viewed
- Segmentation
- Dividing an image into regions, such as organs or tumors, and extracting them
NewsLab news
A student received the University of Tsukuba Student Commendation (President's Award)
A student received the Student Encouragement Award at the Technical Committee on 3D Media Technology of the Institute of Image Information and Television Engineers
A student received the Excellent Research Presentation Award from the Institute of Image Information and Television Engineers
A student received the Student Encouragement Award at the Technical Committee on 3D Media Technology of the Institute of Image Information and Television Engineers
A paper from the lab was selected for an Honorable Mention in the Best Paper Prize of the journal Optics Continuum
ResearchResearch themes
The lab's research rests on two pillars: 3D displays and machine learning. In 3D displays, it studies high-definition glasses-free 3D display and natural 3D display. In machine learning, it works on medical image analysis and document analysis.
*Illustrative imageHigh-definition glasses-free 3D display
Aimed at applications where accurate perception of 3D position is essential, such as surgical simulation and robot teleoperation, the lab studies high-definition glasses-free 3D display, and natural 3D display that reproduces the sense of depth given by the eye's focus adjustment.
*Illustrative imageAutomatic segmentation of CT images
For medical image analysis, the lab works on automatically segmenting CT images using deep learning.
*Illustrative imageDocument analysis on political and social issues
For document analysis, the lab works on classifying, organizing, and visualizing documents about political and social issues.
MembersFaculty
The members of the Visual Media Lab consist of faculty, students in the doctoral program, the master's program, and the undergraduate school, and administrative assistants.As of 2026
- Associate ProfessorHideki Kakeya
VoicesStudent voices
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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: “LCD schematic (3D view)” Tosaka / CC BY 3.0 (cropped)
- High-definition glasses-free 3D display: “Lenticular-Stereogram” Koperczak (talk) 14:30, 31 March 2009 (UTC) / Public domain (cropped)
- Automatic segmentation of CT images: “CT Brain Scan” Goleisureintl / CC BY 4.0 (cropped)
- Document analysis on political and social issues: “Országház (Hungarian Parliament Building)(1)” Lynx1211 / CC BY-SA 4.0 (cropped)
- Related lab (ライフエンジニアリング研究室): “Shenzhen Mindray Bio-Medical Electronics PM-50 - controller-9820” Raimond Spekking / CC BY-SA 4.0 (cropped)
- Related lab (自然言語処理研究室): “Server room - Flickr - sylvar” sylvar / CC BY 2.0 (cropped)
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（通信システム研究室） ): “Scuba diver SCTLD antibiotic paste” Joe Snyder/NOAA / Public domain (cropped) - Related lab (水工学研究室
（京藤研究室， 武若研究室， 白川研究室, 大楽研究室） ): “Running water, JUNE 2026” EST blueprint / CC BY-SA 4.0 (cropped)
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