Master’s in 3D Vision, Metrology and Reconstruction Engineering
Online master's programme of 1,900 hours in 3D vision, metrology and reconstruction engineering. 12 modules covering vision geometry, calibration, 3D acquisition techniques, point cloud processing, dimensional metrology, industrial 3D inspection, multi-view reconstruction, SLAM, deep learning for 3D vision and reverse engineering under ISO 10360-8, VDI/VDE 2634 Part 2 and JCGM 100:2008 (GUM), with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Apply projective geometry to vision systems.
Calibrate cameras, stereo systems and 3D sensors.
Select 3D acquisition techniques according to the application.
Process and register point clouds and meshes.
Evaluate 3D measurements with metrological criteria and uncertainty.
Reconstruct scenes and objects with multi-view methods and SLAM.
Integrate 3D vision into inspection and reverse engineering processes.
Who it's for
- 3D vision engineers developing scanning and reconstruction systems.
- Metrology engineers adopting optical measurement alongside CMMs.
- Optical inspection technicians who want a deeper metrological grounding.
- Dimensional quality engineers responsible for part inspection.
- 3D reconstruction specialists in heritage, construction or industry.
- Reverse engineering professionals turning scans into CAD models.
- Engineering or science graduates looking to enter the automotive sector.
What you'll work with
- ISO 10360-8 (acceptance and reverification tests for CMMs with optical distance sensors)
- VDI/VDE 2634 Part 2 (optical 3D measuring systems based on area scanning)
- JCGM 100:2008 (GUM, guide to the expression of uncertainty in measurement)
- ISO 1101 (geometrical tolerancing)
- JCGM 200:2012 (VIM, international vocabulary of metrology)
- ISO 14253-1 (decision rules for verifying conformity with specifications)
- ISO 15530-3 (uncertainty of CMM measurement using calibrated workpieces)
- ISO 25178-2 (areal surface texture parameters)
- OpenCV
- Open3D
- COLMAP
- GOM Inspect
- CloudCompare
12 modules · 1900 h
1.1Projective camera model1.2Homogeneous coordinates and transformations1.3Intrinsic and extrinsic parameters1.4Lens distortion1.5Homographies between planes1.6Epipolar geometry and the fundamental matrix1.7Essential matrix and relative pose1.8Triangulation of 3D points1.9Bundle adjustment1.10Lab: estimating homographies with OpenCV
2.1Calibration with planar targets2.2Zhang's method2.3Calibration of stereo pairs2.4Hand-eye calibration in robots2.5Projector calibration2.6LiDAR-camera calibration2.7Calibration uncertainty2.8Thermal and mechanical stability2.9Validating the calibration2.10Practical: stereo and hand-eye calibration
3.1Passive stereo and correspondence3.2Structured light and coded patterns3.3Phase shifting3.4Laser line triangulation3.5Time of flight3.6Interferometry and holography3.7Photometric stereo for micro-geometry3.8Confocal and focus-variation microscopy3.9Selecting the technique3.10Lab: structured-light scanner with a projector and camera
4.1Representations: point clouds, meshes and voxels4.2Filtering and noise removal4.3Normal estimation4.4ICP registration and variants4.5Global registration with descriptors4.6Segmentation and primitive fitting4.7Poisson surface reconstruction4.8Mesh simplification4.9Processing with the Open3D library4.10Workshop: registering and merging scans
5.1Metrological concepts according to the VIM5.2Traceability and uncertainty5.3Geometrical Product Specification (GPS)5.4Geometric tolerances according to ISO 11015.5Coordinate measuring machines5.6Optical scanners versus tactile probes5.7Verification according to ISO 103605.8Verification of optical systems to VDI/VDE 26345.9Evaluating measurement uncertainty5.10Practical: part-to-CAD comparison and deviation map
6.1In-line and laboratory inspection6.2Measuring sheet metal and car bodies6.3Inspection of castings6.4Industrial computed tomography6.5Surface and defect inspection6.6Measuring blades and complex parts6.7Measuring robots6.8Measurement system capability studies6.9Inspection reports6.10Case study: automated inspection of an automotive part
7.1Incremental and global Structure from Motion7.2Densification with multi-view stereo7.3Close-range photogrammetry7.4Reconstruction of large scenes7.5Model texturing7.6COLMAP and Meshroom tools7.7Scale and georeferencing7.8Reconstruction accuracy7.9Heritage reconstruction7.10Lab: reconstruction with COLMAP
8.1Feature-based visual odometry8.2Feature-based visual SLAM8.3Direct, feature-less SLAM8.4RGB-D SLAM and KinectFusion8.5TSDF volumetric fusion8.6LiDAR SLAM8.7Loop closure and graph optimisation8.8Mobile and handheld scanning8.9Trajectory evaluation8.10Practical: RGB-D SLAM in an indoor environment
9.1Monocular depth estimation9.2Stereo with deep networks9.3Networks for point clouds9.4Neural radiance fields9.5Gaussian splatting for reconstruction9.6Neural surface reconstruction9.76D pose estimation9.83D object detection9.9Accuracy compared with geometric methods9.10Workshop: reconstruction with Gaussian splatting
10.1From mesh to CAD model10.2Extracting geometric features10.3NURBS surface fitting10.4Parametric modelling from scans10.5Comparing nominal and as-built models10.6STL, STEP and 3MF formats10.7Preparation for additive manufacturing10.8Intellectual property in reverse engineering10.9Industrial workflows10.10Practical: reverse engineering of a mechanical part
11.1Aeronautics and quality control11.2Automotive and assembly11.3Heritage and archaeology11.4Medicine and orthopaedics11.5Construction and BIM11.6Robotics and guidance11.7Augmented reality with 3D models11.8Fashion and anthropometry11.9Geometric digital twins11.10Case study: scanning a structure for BIM
12.1Defining the measurement problem12.2Selecting the 3D system12.3Calibration and validation12.4Acquisition and processing12.5Metrological analysis of results12.6Uncertainty estimation12.7Results and comparison12.8Conclusions and system improvements12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine the programme with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is OpenCV, Open3D, COLMAP, GOM Inspect and CloudCompare, in free, academic or evaluation versions. Real procedures are studied: dimensional inspection with a structured-light scanner, multi-view photogrammetric reconstruction, and reverse engineering of mechanical parts. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: ISO 10360-8, VDI/VDE 2634 Part 2, JCGM 100:2008 (GUM), ISO 1101, JCGM 200:2012 (VIM), ISO 14253-1, ISO 15530-3 and ISO 25178-2.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with OpenCV, Open3D, COLMAP, GOM Inspect and CloudCompare, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme software, and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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