Abstract
Local differential properties of surfaces such as principle curvatures and the local Darboux frame are natural tools to be used during processes of object recognition or any other process, which involves geometric property extraction from 3D range data. As second-order derivative computations are involved in principle curvatures and principle directions computations, their estimations are highly sensitive to noise. The work presented here, makes some subtle but very important modifications to algorithms originally suggested by Taubin', and Chen and Schmidt2 yielding more accurate estimations for those properties when real 3D data is Involved.
Original language | English |
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Title of host publication | 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 105-109 |
Number of pages | 5 |
ISBN (Electronic) | 0780358422, 9780780358423 |
DOIs | |
State | Published - 2000 |
Externally published | Yes |
Event | 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, IEEEI 2000 - Tel-Aviv, Israel Duration: 11 Apr 2000 → 12 Apr 2000 |
Publication series
Name | 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, Proceedings |
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Conference
Conference | 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, IEEEI 2000 |
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Country/Territory | Israel |
City | Tel-Aviv |
Period | 11/04/00 → 12/04/00 |
Bibliographical note
Publisher Copyright:©2000 IEEE.
ASJC Scopus subject areas
- Electrical and Electronic Engineering