Distance Calibration
Background
A growing number of modern applications such as position determination, object recognition and collision prevention depend on accurate scene analysis. The estimation of an object’s distance relative to an observers position by image analysis or laser scan techniques is thereby still the most time-consuming and expansive part.
A lower-priced and much faster alternative is the distance measurement with modulated, coherent infrared light based on the Photo Mixing Detector (PMD) technique. As this approach is a rather new and unexplored method, proper calibration techniques have not been widely investigated yet.
This research direction focuses on the design and evaluation of proper calibration models for the very complex and lightly explored distance mapping process of the PMD, which includes lateral and distance calibration by deviation analysis. Additional concepts combine PMD information with common high resolution 2D images in order to increase the distance resolution and accuracy for further image processing tasks in the context of computer vision.
This research project is partially funded by grant KO-2960-5/1 from the German Research Foundation (DFG).
Papers
| · | M. Lindner, A. Kolb, T. Ringbeck |
| New Insights into the Calibration of TOF Sensors | |
| In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), 2008, pages 1-5 | |
| [bib] [pdf] |
| · | M. Lindner, A. Kolb |
| Calibration of the intensity-related distance error of the PMD TOF-Camera | |
| In SPIE: Intelligent Robots and Computer Vision XXV, 6764, 2007, pages 6764-35 | |
| [bib] [pdf] |
| · | Marvin Lindner, Andreas Kolb |
| Lateral and Depth Calibration of PMD-Distance Sensors | |
| In Advances in Visual Computing, Springer, 2, 2006, pages 524-533 | |
| [bib] [pdf] |