On the Recognition of Parameterized Objects
Determining the identity and pose of occluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and surface orientation may be used in a constrained search process to solve this...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6065 |
| _version_ | 1826196752999383040 |
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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 step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and surface orientation may be used in a constrained search process to solve this problem, for the case of rigid objects, either two-dimensional or three-dimensional. This paper considers the more general problem of recognizing and locating objects that can vary in parameterized ways. We consider objects with rotational, translational, or scaling degrees of freedom, and objects that undergo stretching transformations. We show that the constrained search method can be extended to handle the recognition and localization of such generalized classes of object families. |
| first_indexed | 2024-09-23T10:37:11Z |
| id | mit-1721.1/6065 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:37:11Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/60652019-04-12T08:28:54Z On the Recognition of Parameterized Objects Grimson, W. Eric L. object recognition constrained search Determining the identity and pose of occluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and surface orientation may be used in a constrained search process to solve this problem, for the case of rigid objects, either two-dimensional or three-dimensional. This paper considers the more general problem of recognizing and locating objects that can vary in parameterized ways. We consider objects with rotational, translational, or scaling degrees of freedom, and objects that undergo stretching transformations. We show that the constrained search method can be extended to handle the recognition and localization of such generalized classes of object families. 2004-10-04T14:37:20Z 2004-10-04T14:37:20Z 1987-10-01 AIM-985 http://hdl.handle.net/1721.1/6065 en_US AIM-985 26 p. 3013317 bytes 1174236 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | object recognition constrained search Grimson, W. Eric L. On the Recognition of Parameterized Objects |
| title | On the Recognition of Parameterized Objects |
| title_full | On the Recognition of Parameterized Objects |
| title_fullStr | On the Recognition of Parameterized Objects |
| title_full_unstemmed | On the Recognition of Parameterized Objects |
| title_short | On the Recognition of Parameterized Objects |
| title_sort | on the recognition of parameterized objects |
| topic | object recognition constrained search |
| url | http://hdl.handle.net/1721.1/6065 |
| work_keys_str_mv | AT grimsonwericl ontherecognitionofparameterizedobjects |