On the Recognition of Curved Objects

Determining the identity and pose of occluded objects from noisy data is a critical part of a system's intelligent interaction with an unstructured environment. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's sur...

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Main Author: Grimson, W. Eric L.
Language:en_US
Published: 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/6066
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author Grimson, W. Eric L.
author_facet Grimson, W. Eric L.
author_sort Grimson, W. Eric L.
collection MIT
description Determining the identity and pose of occluded objects from noisy data is a critical part of a system's intelligent interaction with an unstructured environment. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's surface may be used in a constrained search process to solve this problem for the case of rigid polygonal objects using two-dimensional sensory data, or rigid polyhedral objects using three-dimensional data. This note extends the recognition system to deal with the problem of recognizing and locating curved objects. The extension is done in two dimensions, and applies to the recognition of two-dimensional objects from two-dimensional data, or to the recognition of three-dimensional objects in stable positions from two- dimensional data.
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spelling mit-1721.1/60662019-04-12T08:28:55Z On the Recognition of Curved Objects Grimson, W. Eric L. object recognition constrained search Determining the identity and pose of occluded objects from noisy data is a critical part of a system's intelligent interaction with an unstructured environment. Previous work has shown that local measurements of the position and surface orientation of small patches of an object's surface may be used in a constrained search process to solve this problem for the case of rigid polygonal objects using two-dimensional sensory data, or rigid polyhedral objects using three-dimensional data. This note extends the recognition system to deal with the problem of recognizing and locating curved objects. The extension is done in two dimensions, and applies to the recognition of two-dimensional objects from two-dimensional data, or to the recognition of three-dimensional objects in stable positions from two- dimensional data. 2004-10-04T14:37:21Z 2004-10-04T14:37:21Z 1987-07-01 AIM-983 http://hdl.handle.net/1721.1/6066 en_US AIM-983 32 p. 4536989 bytes 1736292 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle object recognition
constrained search
Grimson, W. Eric L.
On the Recognition of Curved Objects
title On the Recognition of Curved Objects
title_full On the Recognition of Curved Objects
title_fullStr On the Recognition of Curved Objects
title_full_unstemmed On the Recognition of Curved Objects
title_short On the Recognition of Curved Objects
title_sort on the recognition of curved objects
topic object recognition
constrained search
url http://hdl.handle.net/1721.1/6066
work_keys_str_mv AT grimsonwericl ontherecognitionofcurvedobjects