DocumentCode
2436253
Title
3-D data acquisition and scene segmentation system
Author
Silva, Jorge A. ; Campilho, AurJélio J C ; dos Santos, J. C Marques
Author_Institution
Fac. de Engenharia, Porto Univ., Portugal
Volume
3
fYear
1996
fDate
25-29 Aug 1996
Firstpage
563
Abstract
A 3-D data acquisition and scene segmentation system is described. For 3-D data acquisition a structured light technique based on the ratio of two intensity images is used. This technique avoids the correspondence problem, that appears in other structured light techniques, and allows the acquisition of dense range images. The calibration steps of the system are described. Measurement results with different scenes are presented and system accuracy is evaluated. Taking into account that this system allows the acquisition of a dense range image and an intensity image, registered with it, a new approach to the segmentation of 3-D scenes using both range and intensity information is proposed. The two images are segmented separately and iteratively. At each iteration, the segmentation results are combined. The segmentation proceeds until all segments are planar or no more splits are possible. A two-step merging procedure follows: first, planar surfaces that may have been split are “reconstructed”, by merging adjacent planar regions that satisfy some constraints; then, regions belonging to curved surfaces are identified and merged, using a curvature analysis along line segments delimited by edge points, combined from both images. Finally, the resulting surfaces are described, using adequate functions
Keywords
data acquisition; image segmentation; iterative methods; 3D data acquisition; curvature analysis; curved surfaces; dense range images; intensity images; planar surfaces; scene segmentation system; structured light technique; two-step merging procedure; Biomedical measurements; Calibration; Data acquisition; Filters; Image edge detection; Image reconstruction; Image segmentation; Layout; Merging; Surface reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.547010
Filename
547010
Link To Document