Part segmentation from 2D edge images by the MDL criterion:
Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Edinburgh
1996
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| Series: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
817 |
| Subjects: | |
| Summary: | Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the 'language' of generic parts." |
| Physical Description: | [10] S. |
Staff View
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| 100 | 1 | |a Pilu, Maurizio |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Part segmentation from 2D edge images by the MDL criterion |c Pilu, M. : Fissher, R. B. |
| 264 | 1 | |a Edinburgh |c 1996 | |
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 817 | |
| 520 | 3 | |a Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the 'language' of generic parts." | |
| 650 | 7 | |a Pattern recognition, image processing and remote sensing |2 sigle | |
| 650 | 4 | |a Computer graphics | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Filters (Mathematics) | |
| 700 | 1 | |a Fissher, Robert B. |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 817 |w (DE-604)BV010450646 |9 817 | |
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Record in the Search Index
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| author | Pilu, Maurizio Fissher, Robert B. |
| author_facet | Pilu, Maurizio Fissher, Robert B. |
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| author_sort | Pilu, Maurizio |
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| bvnumber | BV011050045 |
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| id | DE-604.BV011050045 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:03:10Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007400448 |
| oclc_num | 36466372 |
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| physical | [10] S. |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Pilu, Maurizio Verfasser aut Part segmentation from 2D edge images by the MDL criterion Pilu, M. : Fissher, R. B. Edinburgh 1996 [10] S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 817 Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the 'language' of generic parts." Pattern recognition, image processing and remote sensing sigle Computer graphics Computer vision Filters (Mathematics) Fissher, Robert B. Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 817 (DE-604)BV010450646 817 |
| spellingShingle | Pilu, Maurizio Fissher, Robert B. Part segmentation from 2D edge images by the MDL criterion Pattern recognition, image processing and remote sensing sigle Computer graphics Computer vision Filters (Mathematics) |
| title | Part segmentation from 2D edge images by the MDL criterion |
| title_auth | Part segmentation from 2D edge images by the MDL criterion |
| title_exact_search | Part segmentation from 2D edge images by the MDL criterion |
| title_full | Part segmentation from 2D edge images by the MDL criterion Pilu, M. : Fissher, R. B. |
| title_fullStr | Part segmentation from 2D edge images by the MDL criterion Pilu, M. : Fissher, R. B. |
| title_full_unstemmed | Part segmentation from 2D edge images by the MDL criterion Pilu, M. : Fissher, R. B. |
| title_short | Part segmentation from 2D edge images by the MDL criterion |
| title_sort | part segmentation from 2d edge images by the mdl criterion |
| topic | Pattern recognition, image processing and remote sensing sigle Computer graphics Computer vision Filters (Mathematics) |
| topic_facet | Pattern recognition, image processing and remote sensing Computer graphics Computer vision Filters (Mathematics) |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT pilumaurizio partsegmentationfrom2dedgeimagesbythemdlcriterion AT fissherrobertb partsegmentationfrom2dedgeimagesbythemdlcriterion |