- list technologies which are used in 3D scanning
- compare 3D scanning technologies and select the best one depending on the application
- analyze accuracy and uncertainty of 3D reconstruction
Forms of Teaching
Lectures present theoretical concepts.Seminars and workshops
Seminar includes discussion on theoretical concepts presented during lectures.Laboratory
Laboratory exercises facilitate better understanding of the problems of 3D scanning.
|Type||Threshold||Percent of Grade||Threshold||Percent of Grade|
|Laboratory Exercises||50 %||15 %||50 %||15 %|
|Seminar/Project||50 %||15 %||50 %||15 %|
|Mid Term Exam: Written||0 %||35 %||0 %|
|Final Exam: Written||0 %||35 %|
|Exam: Written||50 %||70 %|
The mandatory prerequisites for the passing grade are at least 50% points achieved on the midterm and on the final exam combined, and at least 50% on the laboratory and on the seminar.
Week by Week Schedule
- Introduction to 3D scanning and profilometry. Image formation model.
- Perspective projection. Decomposition of the perspective projection matrix. Intrinsic and extrinsic parameters.
- Binocular vision. Stereo camera pair. Epipolar constraint. Stereo rectification. Fundamental matrix.
- Triangulation and 3D reconstruction. Correspondence problem. Keypoints. RANSAC. Homographies.
- Single camera calibration. Calibration of a stereo camera pair. Autocalibration.
- Three views. Trifocal tensor. Geometries with more than three views.
- Bundle adjustment. Cheirality.
- Midterm exam
- Structured light. Classification of structured light patterns. One-shot and multiple-shot patterns. Light sources and projectors.
- Fringe projection profilometry. Phase unwrapping.
- Projector calibration. Systems using multiple cameras and projectors.
- Time-of-flight cameras. Coding functions.
- Point clouds. Registration. ICP algorithm.
- Laser 3D scanning. Handheld 3D scanners. Other 3D scanning methods.
- Final exam