Multi-sensor panorama fusion and visualization


by Scheibe, K and Klette, R
Abstract:
The paper describes a general approach for scanning and visualizing panoramic (360°) indoor scenes. It combines range data acquired by a laser range finder with color pictures acquired by a rotating CCD line camera. The paper defines coordinate systems of both sensors, specifies the fusion of range and color data acquired by both sensors, and reports about different alternatives for visualizing the generated 3D data set. Compared to earlier publications, the recent approach also utilizes an improved method for calculating the spatial (geometric) correspondence between laser diode of the laser range finder and the focal point of the rotating CCD line camera. Calibration is also a subject in this paper. A least-square minimization based approach is proposed for the rotating CCD line camera. © 2006 Springer.
Reference:
Multi-sensor panorama fusion and visualization (Scheibe, K and Klette, R), Chapter in Imaging Beyond the Pinhole Camera, Springer Netherlands, 2006.
Bibtex Entry:
@incollection{scheibe2006multi-sensorvisualization,
author = "Scheibe, K and Klette, R",
booktitle = "Imaging Beyond the Pinhole Camera",
pages = "185--206",
publisher = "Springer Netherlands",
title = "Multi-sensor panorama fusion and visualization",
year = "2006",
abstract = "The paper describes a general approach for scanning and visualizing panoramic (360°) indoor scenes. It combines range data acquired by a laser range finder with color pictures acquired by a rotating CCD line camera. The paper defines coordinate systems of both sensors, specifies the fusion of range and color data acquired by both sensors, and reports about different alternatives for visualizing the generated 3D data set. Compared to earlier publications, the recent approach also utilizes an improved method for calculating the spatial (geometric) correspondence between laser diode of the laser range finder and the focal point of the rotating CCD line camera. Calibration is also a subject in this paper. A least-square minimization based approach is proposed for the rotating CCD line camera. © 2006 Springer.",
doi = "10.1007/978-1-4020-4894-4_10",
isbn = "1402048939",
isbn = "9781402048937",
keyword = "3D visualization",
keyword = "laser range finder",
keyword = "line-based camera",
keyword = "multi-sensor systems",
keyword = "panorama fusion",
keyword = "panoramic imaging",
language = "eng",
}