3-dimensional Modeling With Digital Photogrammetry
Geodesy and Geoinformation Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| 3-dimensional Modeling With Digital Photogrammetry | JJM506 | Elective | Master's degree | 1 | Spring | 6 |
Name of Lecturer(s)
Prof. Dr. Ozan ARSLAN
Learning Outcomes of the Course Unit
1) Explain the plane and space coordinate transformations in photogrammetry; relations about image and object spaces.
2) Identify the fundamental projective geometry and make its mathematical model solutions.
3) Describe the basic information on orientation concept in photogrammetry, stereoscopic view, epipolar geometry and stereo vision.
4) Clarify the general computer vision concepts and technique.
5) Synthesize the network design principles in close range photogrammetry.
6) Analyze digital photogrammetry triangulation concepts and adjustment theory.
7) Explain the reconstruction of 3D objects in space using laser scanning technique.
Program Competencies-Learning Outcomes Relation
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| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 2 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 3 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 6 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
| 7 | No relation | No relation | No relation | High | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Photogrammetry
Course Contents
This course provides candidates with profound knowledge on;
Introduction. Definitions. Coordinate systems in photogrammetry. Close range photogrammetry and alternative methods. Computer vision technique. Camera types and calibration methods. Close range photogrammetric automatic triangulation networks. Plane and space transformations in photogrammetry. Adjustment of photogrammetric triangulation with additive parameters. Error sources in photogrammetry. Correction of errors. Collocation in photogrammetry.
Weekly Schedule
1) Image and radiometric and photogrammetric basics2) Mathematic model on projective geometry
3) Plane and space transforms, relationships on image and object space
4) Orientation concept in photogrammetry. Stereo image geometry and epipolar geometry
5) Camera calibration methods, metric and semimetric cameras
6) General concepts in computer vision
7) Digital orthophoto concept and its mathematic model
8) Midterm examination/Assessment
9) Close range photogrammetry networks. 3 dimensional modelling and geometrical issues
10) Digital image matching techniques and application fields
11) Digital image enhancement techniques
12) Digital automatic photogrammetric network adjustment methods
13) Object surface building methods and algorithms
14) Building space models of objects with laser scaccing methods
15) Photogrammetric data filtering algorithms
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Demonstration
4) Group Study
5) Problem Solving
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required