3 credits
Fall 2025 Lecture Upper Division
This course deals with various aspects related to 3D reconstruction from 2D imagery. The course starts with comprehensive coverage of data acquisition systems while focusing on different factors that affect the quality of image measurements. Then, the course focuses on the mathematical details for deriving 3D information from imagery including 2D/3D rotation, collinearity equations, projective transformation, direct linear transformation, theory of orientation, bundle adjustment, image resampling according to epipolar geometry, image matching, and orthophoto generation. The course also covers the similarities/differences between photogrammetric and computer vision approaches toward 3D reconstruction.
Learning Outcomes1Define photogrammetric mapping and its possible applications.
2Explain basic definitions related to electromagnetic radiation.
3Define basic optical principles, film development steps, and operational principles of digital cameras.
4Derive photogrammetric formulas for vertical photography.
5Explain image coordinate measurements and reduction/refinement.
6Explain/derive mathematical and geometric principles.
7Explain the theory and procedures of photogrammetric orientation.
8Describe the different options for photogrammetric georeferencing.
9Describe the principles of digital image matching.
10Explain the steps for digital orthophoto generation.
Restrictions
made by Purdue students.