Abstract
A general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives (spheres, cylinders, cones, and tori). The assumption is that a curve on the surface was measured with high accuracy (for instance, by a sensory robot). Differential invariants of the curve in one method and differential properties of curves and surfaces in the other are then used to recognize the surface. The motivation is twofold: The output of some devices is not surface range data, but such curves. So, surface invariants, which may be simpler in some cases, cannot always be obtained. Also, a considerable speedup is obtained by using curve data, as opposed to surface data which usually contains a much higher number of points.
Original language | English |
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Title of host publication | Proceedings - IEEE International Conference on Robotics and Automation |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3375-3381 |
Number of pages | 7 |
ISBN (Print) | 078034300X |
DOIs | |
State | Published - 1998 |
Event | 15th IEEE International Conference on Robotics and Automation, ICRA 1998 - Leuven, Belgium Duration: 16 May 1998 → 20 May 1998 |
Publication series
Name | Proceedings - IEEE International Conference on Robotics and Automation |
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Volume | 4 |
ISSN (Print) | 1050-4729 |
Conference
Conference | 15th IEEE International Conference on Robotics and Automation, ICRA 1998 |
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Country/Territory | Belgium |
City | Leuven |
Period | 16/05/98 → 20/05/98 |
Bibliographical note
Publisher Copyright:© 1998 IEEE.
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering