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Model-Based Recognition and Localization From Sparse Range or Tactile Data (1983)  (Make Corrections)  (83 citations)
W. Eric L. Grimson, Tomás Lozano-Pérez
International Journal of Robotics Research



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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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Geometric and Dynamic Sensing: Observation of Pose and Motion.. - Jia (1997)   (Correct)
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18:   Object Recognition by Computer: The role of geometric constraints (context) - Grimson - 1990
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14:   Three-dimensional object recognition from single two-dimensional images - Lowe - 1987

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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