Recognizing surfaces using curve invariants and differential properties of curves and surfaces

D. Keren, E. Rivlin, I. Shimshoni, I. Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3375-3381
Number of pages7
ISBN (Print)078034300X
DOIs
StatePublished - 1998
Event15th IEEE International Conference on Robotics and Automation, ICRA 1998 - Leuven, Belgium
Duration: 16 May 199820 May 1998

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume4
ISSN (Print)1050-4729

Conference

Conference15th IEEE International Conference on Robotics and Automation, ICRA 1998
Country/TerritoryBelgium
CityLeuven
Period16/05/9820/05/98

Bibliographical note

Publisher Copyright:
© 1998 IEEE.

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Recognizing surfaces using curve invariants and differential properties of curves and surfaces'. Together they form a unique fingerprint.

Cite this