(Enter summary)
Abstract: This paper discusses how local measurements of three-dimensional
pool[ions and surface normals (recorded by a set of tactile sensors, or by threedimensional
range sensors), may be used o identify and locate objects, from among
a set, of known objects. The objects are modeled as po!yhedra having up to six
degrees of freedom relative to the sensors. We show tiat inconsistent, hypotheses
about pairings between sensed points and object, surfaces can be discarded efficiently
by using local... (Update)
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18: Object Recognition by Computer: The role of geometric constraints (context) - Grimson - 1990
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BibTeX entry: (Update)
Grimson, W.E.L., and Lozano-Perez, T., Model-Based Recognition and Localization from Sparse Range or Tactile Data, The International Journal of Robotics Research, Vol. 3, No. 3, pp 3-35, Fall 1984. http://citeseer.ist.psu.edu/grimson83modelbased.html More
@article{ grimson84modelbased,
author = "W. Eric L. Grimson and Tom\'{a}s Lozano-P\'{e}rez",
title = "{Model-Based Recognition and Localization from Sparse Range or Tactile Data}",
journal = "{International Journal of Robotics Research}",
volume = "3",
number = "3",
month = "Fall",
pages = "3--35",
year = "1984",
url = "citeseer.ist.psu.edu/grimson83modelbased.html" }
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