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Digital Geometry Processing Engineering Lab
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The lab develops geometry processing software that lets computers handle shapes captured by 3D measurement.

AboutAbout the lab
Turning measured shapes into usable models.
The Digital Geometry Processing Engineering Lab studies how to represent shapes obtained by 3D measurement of everyday objects accurately inside a computer and make them usable.
The lab builds software that converts and processes large-scale 3D data from laser scanning and CT to suit purposes such as design, manufacturing, maintenance, and diagnosis.
Its subjects range widely: industrial products such as automobiles and machine parts, large structures such as buildings and bridges, urban areas and city environments, and the human body.
Research combines foundations in linear algebra, statistics, optimization, and discrete geometry with implementation through data structures and programming.
Key terms
- Point cloud
- A set of points measured with a laser or similar device, forming data that represents the shape of an object
- Reverse engineering
- Recreating a CAD model, which corresponds to the design drawings, from data measured on a real object
- Mesh
- A data format that represents the surface of an object by joining faces such as triangles
NewsLab news
A master's student received the Excellent Presentation Award from the Hokkaido Branch of the Japan Society for Precision Engineering
A master's student received the Best Presentation Award at the Spring Conference of the Japan Society for Precision Engineering
A master's student received the Best Presentation Award at the Autumn Conference of the Japan Society for Precision Engineering
A master's student received the Excellent Presentation Award from the Hokkaido Branch of the Japan Society for Precision Engineering
ResearchResearch themes
The lab develops theories, algorithms, and systems for accurately representing 3D-measured shapes of a wide variety of everyday objects inside a computer and using them in many settings. Building on shape processing, image processing, 3D measurement, and computational geometry, it studies how to use 3D models.
*Illustrative imageEnvironment Recognition and 3D Modeling
3D laser scanning is used to maintain bridges and plants that have no drawings, as well as complex urban environments and utility poles. The lab develops technology that automatically recognizes and models plant piping systems, air-conditioning ducts, and pole-like objects and buildings in urban areas from measured point clouds.
*Illustrative imageMeasurement Planning and Measurement Support
The quality of data obtained by 3D measurement varies greatly depending on how the measurement is carried out. The lab studies having computers solve optimal measurement planning problems that reduce measurement time and improve data quality. It also develops visualization systems for quickly checking data on site.
*Illustrative imageAdvancing CAD/CAE
Developing high-quality industrial products requires advances in CAD/CAE technology. The lab works on reverse engineering that quickly builds CAD models from measurement data of cast parts, deformation of analysis meshes, and recognition of shape features of machine parts using machine learning.
*Illustrative image3D Shape Models for Medicine
3D measurement data of the human body obtained from X-ray CT and MRI is very useful for medical analysis. Aiming to support the treatment of patients with aortic dissection, the lab develops technology to create models for analysis from CT data.
MembersFaculty
The members of the Digital Geometry Processing Engineering Lab consist of faculty, doctoral, master's, and undergraduate students, and international students.As of 2026
- ProfessorHiroaki Date
- Associate ProfessorYonghoon Ji
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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: “"Punktewolke" Berlin Vertikale Vermessung des Hauptbahnhofs ( )” DLR German Aerospace Center / CC BY 2.0 (cropped)
- Environment Recognition and 3D Modeling: “Austin Texas LiDAR Point Cloud (Highway 183)” Rebecca equator / CC BY-SA 4.0 (cropped)
- Measurement Planning and Measurement Support: “Geo-Referenced Point Cloud” Stoermerjp / CC BY-SA 3.0 (cropped)
- Advancing CAD/CAE: “Triangulation with edge midpoints” Grawiuton / CC0 (cropped)
- 3D Shape Models for Medicine: “3D CT of pulmonary circulation” Mikael Häggström / CC0 (cropped)
- Related lab (Information and Communication Networks Lab): “Cell Tower Ciudad del Carmen2020” Cvmontuy / CC BY-SA 4.0 (cropped)
- Related lab (Structured Intelligence Lab): “Costa's Minimal Surface” Anders Sandberg / CC BY-SA 3.0 (cropped)
- Related lab (Human-Centric Engineering Lab): “Gait laboratory” D. Gordon E. Robertson / CC BY-SA 3.0 (cropped)
- Related lab (Media Creation Lab): “Photomosaic WLM2014 Winner” user:Fuzzypiggy / CC BY-SA 3.0 (cropped)
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