LAB LOGA page on LabLog, a review site (not the lab's official page)
Computer Vision, Graphics, and VR Lab
Machine-translated · View original
The computer vision lab captures and analyzes the shapes of the real world using cameras and light.
AboutAbout the lab
Capturing the shape of the world with cameras and light.
The Computer Vision, Graphics, and VR Lab centers on computer vision and computer graphics, conducting research on acquiring and using the shapes and appearance of the real world from images and video.
The research introduction page organizes the work into these areas: acquisition, modeling, recognition, and rendering of wide-area spaces; 3D shape acquisition and analysis; medical image processing and sports analysis; texture acquisition, analysis, and synthesis; and the display and use of real-world data and robotics applications.
Recent work includes underwater 3D measurement, reconstruction of full-surround shapes using multiple devices, and 3D endoscopes.
On the lab's website, it is introduced under the name "Kawasaki Lab."
Key terms
- Structured Light
- A method that projects a predetermined pattern and measures 3D shape from its correspondence with the camera image
- SLAM
- A technology that observes the surroundings with a camera or similar sensor while simultaneously building a map and estimating its own position
- Neural Signed Distance Function
- A method of representing shape by expressing the distance to an object's surface with a neural network
NewsLab news
Results of joint research with DENSO IT Laboratory announced in a press release
A doctoral student received the FY2024 IEEE Fukuoka Section Student Research Encouragement Award
Associate Professor Diego Thomas's research received the MIRU Nagao Award at MIRU2024
Research by a doctoral student and faculty members received the MIRU Excellence Award at MIRU2024
ResearchResearch themes
The lab conducts research that acquires, analyzes, and uses the shapes and appearance of the real world with cameras, projectors, and lasers. In 3D shape measurement, the research presented includes reconstructing shape using projected light patterns or lasers as cues.
*Illustrative imageUnderwater SLAM Using Lasers
Using a graph neural network, the lab stably establishes correspondences for the broken lines of a multi-line laser. This research enables high-accuracy 3D reconstruction even in underwater environments.
*Illustrative image4D Scene Reconstruction of Full-Surround Shapes
Overlapping one-shot structured light patterns projected from multiple projectors and cameras are separated using DSSS. Based on a Neural SDF, the lab then proposes a method for reconstructing the full-surround 3D shape.
*Illustrative imageStructured-Light Measurement Robust Even Underwater
The lab combines neural signed distance functions (Neural SDF) with differentiable rendering. This enables precise reconstruction by structured light even in dark places or under unknown patterns, which were difficult for conventional image processing.
*Illustrative imageDeveloping a 3D Endoscope
Using an existing endoscope and a wide-angle DOE pattern projector, the lab develops a 3D endoscope capable of stable 3D reconstruction with graph neural networks and Neural SDF.
MembersFaculty
The members of the Computer Vision, Graphics, and VR Lab consist of faculty members, collaborators, doctoral, master's, and undergraduate students, interns, visitors, and alumni and former members.As of 2026
- ProfessorHiroshi Kawasaki
- Associate ProfessorDiego Thomas
VoicesStudent voices
Ratings and reviews reflect the experiences of individual current or former students, not the lab's official views. Whether a lab has reviews, or how many, says nothing about the lab itself.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
Student ratings (0 students)
--
--
--
--
--
--
Student voices answer questions like these
- What's great about this lab?
- What did you learn after joining?
- What's the vibe, and what is the professor like?
- Who is this lab for?
- Where do graduates go?
Your experience can help younger students choose their lab. Your name won't be shown.
Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to Computer Vision, Graphics, and VR Lab
AI Education LabGraduate School of Information Science and Electrical Engineering, Department of Real-World Robotics (Special Course in Practical Data Science)Learning analytics, sensor technology, AR/VR
Human Data Interaction LabGraduate School of Information Science and Electrical Engineering, Department of Real-World Robotics (Special Course in Practical Data Science)Human-computer interaction, data mining, sensing, learning a…
Image and Media Understanding LabGraduate School of Information Science and Electrical Engineering, Department of Real-World Robotics (Special Course in Practical Data Science)Learning analytics, image and media processing, pattern reco…
Laser and Optical Applications LabGraduate School of Information Science and Electrical Engineering, Department of Energy Applied Systems EngineeringLaser applications, spectral imaging, next-generation optoel…The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Einsatz von Augmented Reality im Service von HAHN Automation” HAHN Group / CC BY-SA 4.0 (cropped)
- Underwater SLAM Using Lasers: “Concours de robotique sous-marine SAUC-E 08 - Robot immergé (Ifremer )” Olivier Dugornay (IFREMER, Pôle Images, Centre Bretagne - ZI de la Pointe du Diable - CS Plouzané, France) / CC BY 4.0 (cropped)
- 4D Scene Reconstruction of Full-Surround Shapes: “Multi-camera video production setup” Ntchi / CC BY 4.0 (cropped)
- Structured-Light Measurement Robust Even Underwater: “AutomatixSeamtrackerDev.agr” ArnoldReinhold / CC BY-SA 3.0 (cropped)
- Developing a 3D Endoscope: “Olympus Endoscopes )” Kitmondo Marketplace / CC BY 2.0 (cropped)
- Related lab (AI Education Lab): “Online learning img” Oconnoras / CC BY-SA 4.0 (cropped)
- Related lab (Human Data Interaction Lab): “School of Data Science - University of Virginia - terrace” School of Data Science at the University of Virginia / CC BY 4.0 (cropped)
- Related lab (Image and Media Understanding Lab): “Moskovskaya” Artyom Svetlov / CC BY-SA 4.0 (cropped)
- Related lab (Laser and Optical Applications Lab): “Laser weld on helium-filled hard drive” Phiarc / CC BY-SA 4.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.