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Image Information Lab
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A lab that reads the real world from camera images and creates new video media.
AboutAbout the lab
Recognizing the real world through images and creating video media
The Image Information Lab conducts research centered on image information and computational media.
Its work builds on foundational technologies such as computer vision, augmented reality, mixed reality, free-viewpoint video, and video recognition and understanding.
Students are supervised by multiple faculty members, which helps them develop the ability to think about their research from a variety of perspectives.
The lab operates across several organizations, including the College of Engineering Systems, graduate degree programs, and the Center for Computational Sciences.
Key terms
- Computer vision
- Technology that lets computers read the shapes and positions of objects, and what is shown, from camera images and video.
- Free-viewpoint video
- Video that, based on footage from multiple cameras, can also generate views from positions where no camera is placed.
- Mixed reality (MR)
- Technology that overlays computer-generated virtual objects onto the real world so that both can be seen at the same time.
- Laparoscopic surgery
- Surgery in which a camera and instruments are inserted through small incisions in the abdomen and the operation is performed while watching a monitor.
NewsLab news
A master's student won the Best Award at the SIT2026 Soccer Data Ideathon
A student received an Encouragement Award from the Japanese Society of Football Science
A lab presentation received the MVE Award at the MVE workshop
A lab presentation received the Best Paper Award at IWAIT 2025
A student received the Best Presentation Award at APMAR 2024
ResearchResearch themes
With image information and computational media at the core of its research, the lab builds on foundational technologies including computer vision, augmented and mixed reality, free-viewpoint video, and video recognition and understanding. It also works on sports video analysis, interfaces for autonomous vehicles, medical imaging, and AI sensing.
*Illustrative imageFree-Viewpoint Video: Choose Your Own Viewpoint
The lab films events held in large venues, such as soccer matches and concerts, with many video cameras and processes the footage to create a 3D video medium in which viewers can choose their own viewpoint. Applications are expected in amusement and sports science.
*Illustrative imageAnalyzing Sports Skills from Video
The lab analyzes players' movements from video and works on practice support and tactical analysis based on players' 3D positions. It also studies new forms of training support using VR (virtual reality).
*Illustrative imageAI Sensing: Capturing Scenes So AI Can Read Them Easily
This research on "AI sensing" captures real-world information in a form that recognition AI can easily use to understand people and objects. Rather than being bound to cameras designed for human eyes, the lab designs lenses, image sensors, and image processing together with the recognition system.
*Illustrative imageMedical Image Generation and Surgical Support
Building on AI-based image generation, computer vision, and augmented reality, the lab works on generating medical images such as X-rays and CT scans and on their 3D reconstruction. It also conducts research to support laparoscopic surgery.
MembersFaculty
The members of the Image Information Lab consist of faculty, researchers, secretaries, technical staff, students in the doctoral, master's, and undergraduate programs, and research students.As of 2026
- ProfessorYoshinari Kameda
- ProfessorItaru Kitahara
- ProfessorMasato Tsukada
- Assistant ProfessorChun Xie
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
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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: “Esper LightCage photogrammetry camera rig” ESPER HQ / CC BY 2.0 (cropped)
- Free-Viewpoint Video: Choose Your Own Viewpoint: “2009 Emir of Qatar Cup Final - Spidercam ( )” D@LY3D from Qatar, Doha / CC BY 2.0 (cropped)
- Analyzing Sports Skills from Video: “Two men in thong underwear boxing with gloves (rbm-QP301M )” Muybridge, Eadweard / Public domain (cropped)
- AI Sensing: Capturing Scenes So AI Can Read Them Easily: “-capteur-fz28-17f” Thomas Bresson / CC BY 3.0 (cropped)
- Medical Image Generation and Surgical Support: “3D CT reconstruction of human lumbar spine and sacrum (anterior view) - Navi Mumbai” Goleisureintl / CC BY 4.0 (cropped)
- Related lab (高分子材料工学研究室): “Testing Instruments for Packaging Materials” Lisapaulinet / 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 (BR研
（松本研究室） ): “InclusiveGameLab Person-Playing-Virtual-Reality 7 CC-BY-SA” InclusiveGameLab / CC BY-SA 4.0 (cropped) - Related lab (音響システム研究室(若槻)): “DL50 - glass ultrasonic delay line - ultrasonic transducer” Mister rf / CC BY-SA 4.0 (cropped)
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