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Author  |
Alshawabkeh, Yahya; Haala, Norbert; Fritsch, Dieter |
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Title |
Range Image Segmentation Using the Numerical Description of the Mean Curvature Values |
Type |
Conference Article |
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Year |
2008 |
Publication |
XXI ISPRS Congress, Technical Commission V |
Abbreviated Journal |
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Issue |
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Pages |
533-538 |
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Keywords |
laser scanner; range image segmentation; mean curvature values; crease-step edge; free form objects |
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Abstract |
In this paper we present a new efficient edge detection algorithm for the extraction of linear features in range image data. In the proposed algorithm the distinguished points, which will comprise the edges, depend on the spatial analysis of the numerical description of the mean curvature values. The work was motivated by the fact that the optimality of edge detectors for range images has not been considered in the literature, some algorithms are limited to synthetic range images and will totally fail in the presence of noise, others which have been tested in real range images are complicated with large numbers of parameters. As it will be demonstrated, the algorithm features computational efficiency, high accuracy in the localization of the edge points, easy implementation, and robustness against noise. The generality and robustness of the algorithm is illustrated on complex scene images with different range sensors. |
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Publisher |
ISPRS |
Place of Publication |
Beijing, China |
Editor |
Chen, Jun; Jiang, Jie; Maas, Hans-Gerd |
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Original Title |
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Series Editor |
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Series Title |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Abbreviated Series Title |
ISPRS Archives |
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Series Volume |
XXXVII |
Series Issue |
B5 |
Edition |
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ISSN |
1682-1750 |
ISBN |
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Expedition |
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Conference |
XXI International Congress for Photogrammetry and Remote Sensing |
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Notes |
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Approved |
yes |
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Call Number |
UCF @ kdamkjer @ Alshawabkeh_2008 |
Serial |
18 |
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