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Computer Vision, Graphics, and VR Lab
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The lab uses computer vision to capture the shapes of the real world in 3D.
AboutAbout the lab
Capturing the shapes of the real world with cameras and light.
The lab focuses on computer vision, computer graphics, and AR/VR/MR.
It works on techniques for measuring the 3D shapes of objects using cameras, projectors, and other devices, as well as on 3D reconstruction underwater and inside the body.
The lab also conducts research on generating human motions, such as gestures, from text.
The lab's website introduces it under the name "Kawasaki Lab."
Key terms
- Structured light
- A measurement method in which a camera and a projector are used to project a known pattern, and 3D shape is obtained from the correspondence between the projected and observed patterns
- One-shot
- A method that obtains 3D shape from the projected pattern in a single capture
- Neural SDF
- A shape representation that expresses the signed distance to an object's surface using a neural network
NewsLab news
Press release on results of joint research with Denso IT Laboratory
A doctoral student received the Student Research Encouragement Award from the IEEE Fukuoka Section
Research by Associate Professor Thomas received the MIRU Nagao Award at MIRU2024
Research by a doctoral student, Associate Professor Thomas, and Professor Kawasaki received the MIRU Excellence Award at MIRU2024
ResearchResearch themes
The lab studies techniques for measuring and reconstructing the 3D shapes of the real world using cameras, projectors, and other devices. It also tackles 3D reconstruction underwater and inside the body with methods based on neural networks.
*Illustrative imageUnderwater SLAM Using the Laser Light-Section Method
This research uses a graph neural network to robustly match the IDs of fragmented multi-line lasers. It aims to enable high-accuracy 3D reconstruction even in underwater environments.
*Illustrative imageNeural 4D Reconstruction Using Multiple Devices
The lab separates one-shot structured light patterns projected in overlap by multiple projector-camera pairs, using a method called DSSS. It then proposes a method to reconstruct full-surround 3D shapes based on neural SDF.
*Illustrative imageUnderwater Structured Light with Neural Representations
This research combines neural signed distance functions with differentiable rendering. It achieves precise reconstruction with structured light even in dark environments and under unknown patterns, which were difficult for conventional image processing.
*Illustrative image3D Endoscope Using Active Stereo
The lab is developing an endoscope that robustly reconstructs 3D shapes, using an existing endoscope and a wide-angle DOE pattern projector together with graph neural networks and neural SDF.
MembersFaculty
The lab's members consist of faculty, collaborators, students in the doctoral, master's, and undergraduate programs, and interns.As of 2026
- ProfessorHiroshi Kawasaki
- Associate ProfessorDiego Thomas
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: “3D Scanning Team” IT Photography / CC BY-SA 4.0 (cropped)
- Underwater SLAM Using the Laser Light-Section Method: “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)
- Neural 4D Reconstruction Using Multiple Devices: “Multi-camera video production setup” Ntchi / CC BY 4.0 (cropped)
- Underwater Structured Light with Neural Representations: “Black Sea Underwater Archeologiclal Expedition of NAS” Oleksandr (Alex) Zakletsky / CC BY 4.0 (cropped)
- 3D Endoscope Using Active Stereo: “Equipment - Endoscopy (5845) -- Smart-Servier” Laboratoires Servier / CC BY-SA 3.0 (cropped)
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（福嶋 政期） ): “Virtual-reality-woman” Mohamed Hayibor / CC0 (cropped) - Related lab (無線通信研究室): “Wireless antenna on boat 1914-colorized” 作者不詳 / Public domain (cropped)
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