Data Fusion
Background
An important field of reasearch in computer vision is the 3D analysis and reconstruction of objects and scenes. A rather new technologie in this context is the PMD, based on the time-of-flight principle, which measures full-range distance information in real-time. Unfortunately, PMD-based devices have still limited resolution and provide only IR intensity information.
This reasearch direction focuses on a fast algorithmic approach to combine high resolution RGB images with PMD distance data, acquired using a binocular camera setup. The resulting combined RGBZ-data not only enhances the visual result, but also represents a basis for advanced data processing in e.g. object recognition with sub-pixel accuracy. A simple but efficient method is used to detect geometric occlusion caused by the binocular setup, which otherwise will lead to false color assignments.
This research project is partially funded by grant KO-2960-5/1 from the German Research Foundation (DFG).
Papers
| · | A. Kolb, E. Barth, R. Koch |
| ToF-Sensors: New Dimensions for Realism and Interactivity | |
| In Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), 2008, pages 1-6 | |
| [bib] [pdf] |
| · | M. Lindner, M. Lambers, A. Kolb |
| Data Fusion and Edge-Enhanced Distance Refinement for 2D RGB and 3D Range Images | |
| In Int. J. on Intell. Systems and Techn. and App. (IJISTA), Issue on Dynamic 3D Imaging, 5(1), 2008, pages 344 - 354 | |
| [bib] [pdf] |
| · | M. Lindner, A. Kolb |
| Data-Fusion of PMD-Based Distance-Information and High-Resolution RGB-Images | |
| In Proc. of the Int. IEEE Symp. on Signals, Circuits & Systems (ISSCS), 1, 2007, pages 121 - 124 | |
| [bib] [pdf] |