3D Imaging
Instructor: Gady Agam, Illinois Institute of Technology
Level: Introductory
Duration: 4 Hours plus 30-minute break and 30-minute post-class discussion
Course Time:
New York: Thursday 14 January, 10:00 – 15:00
Paris: Thursday 14 January, 16:00 – 21:00
Tokyo: Friday 15 January, 00:00 – 05:00
Benefits
This course enables the attendee to:
- Describe fundamental concepts in 3D imaging.
- Develop algorithms for 3D model reconstruction from 2D images.
- Incorporate camera calibration into your reconstructions.
- Classify the limitations of reconstruction techniques.
- Use industry standard tools for developing 3D imaging applications.
The purpose of this course is to introduce algorithms for 3D structure inference from 2D images. In many applications, inferring 3D structure from 2D images can provide crucial sensing information. The course begins by reviewing geometric image formation and mathematical concepts that are used to describe it, and then discusses algorithms for 3D model reconstruction.
The problem of 3D model reconstruction is an inverse problem in which we need to infer 3D information based on incomplete (2D) observations. We discuss reconstruction algorithms, which utilize information from multiple views. Reconstruction requires the knowledge of some intrinsic and extrinsic camera parameters, and the establishment of correspondence between views. We discuss algorithms for determining camera parameters (camera calibration) and for obtaining correspondence using epipolar constraints between views. The course also introduces relevant 3D imaging software components available through the industry standard OpenCV library.
Intended Audience
Engineers, researchers, and software developers who develop imaging applications and/or use camera sensors for inspection, control, and analysis. The course assumes a basic working knowledge concerning matrices and vectors.
Gady Agam is an associate professor of computer science at the Illinois Institute of Technology. He is the director of the Visual Computing Lab at IIT, which focuses on imaging, geometric modeling, and graphics applications. He received his PhD from Ben-Gurion University (1999).
COST
by December 31:
member $135
non-member $150
student $70
|
after December 31:
member $160
non-member $175
student $95 |
Discounts given for multiple classes. See Registration page for details and to register.
For office use only: