Generalized Image Acquisition and Analysis

A Mathematical Model and Calibration Procedure for Galvanometric Laser Scanning Systems

Laser galvanometric scanning systems are commonly used in various fields such as three dimensional scanning, medical imaging, material processing, measurement devices and laser display systems. The systems of such kind suffer from distortions. On top of that they do not have a center of projection, which makes it impossible to use common projector calibration procedures. The paper presents a novel mathematical model to predict the image distortions caused by galvanometric mirror scanning systems. In addition, we describe a calibration procedure for recovering its intrinsic and extrinsic parameters.

Teaching

Parallel Visual Computing

Seminar in winter term 2012/13

Lecturers: Ivo Ihrke, Tobias Ritschel, Mario Fritz

General Information

Course webpage

When: 2012, Oct. 18th to 2013, Jan. 31st
Where: E1.7 room 0.01
Registration for mailing list: send email to Ivo Ihrke (lastname@mmci.uni-saarland.de)

Overview:

This seminar covers the hands-on use of parallel hardware (CPUs and GPUs) for visual computing, i.e.,

  • Computer vision (e.g., from simple image operations to classification)
  • Computer graphics (e.g., advanced shading)
  • Scientific computing (e.g., equation solving)

The target audience are students in computer science or related fields. Good C++ programming skills, basic knowledge about 3D geometry, image processing, and computer graphics are required. This seminar will be based on hands-on parallel programming:

  • Every one week, a tutor will present a problem with an interesting parallel solution.
  • On the same day there will be a programming assignment on the topic.
  • Teams of two people will work on this assignment
  • Every team demos their solution and we discuss

FAQ:


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