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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Pilu, Maurizio (VerfasserIn), Fissher, Robert B. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Edinburgh 1996
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 817
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000nam a2200000 cb4500
001 BV011050045
003 DE-604
005 00000000000000.0
007 t|
008 961111s1996 xx |||| 00||| engod
035 |a (OCoLC)36466372 
035 |a (DE-599)BVBBV011050045 
040 |a DE-604  |b ger  |e rakddb 
041 0 |a eng 
049 |a DE-91G 
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 
300 |a [10] S. 
336 |b txt  |2 rdacontent 
337 |b n  |2 rdamedia 
338 |b nc  |2 rdacarrier 
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 
943 1 |a oai:aleph.bib-bvb.de:BVB01-007400448 

Datensatz im Suchindex

DE-BY-TUM_call_number 0111 2001 B 6034
DE-BY-TUM_katkey 774571
DE-BY-TUM_location 01
DE-BY-TUM_media_number 040020501539
_version_ 1820813034808934400
any_adam_object
author Pilu, Maurizio
Fissher, Robert B.
author_facet Pilu, Maurizio
Fissher, Robert B.
author_role aut
aut
author_sort Pilu, Maurizio
author_variant m p mp
r b f rb rbf
building Verbundindex
bvnumber BV011050045
ctrlnum (OCoLC)36466372
(DE-599)BVBBV011050045
format Book
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01671nam a2200337 cb4500</leader><controlfield tag="001">BV011050045</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">961111s1996 xx |||| 00||| engod</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)36466372</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV011050045</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pilu, Maurizio</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Part segmentation from 2D edge images by the MDL criterion</subfield><subfield code="c">Pilu, M. : Fissher, R. B.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Edinburgh</subfield><subfield code="c">1996</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">[10] S.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">University &lt;Edinburgh&gt; / Department of Artificial Intelligence: DAI research paper</subfield><subfield code="v">817</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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."</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pattern recognition, image processing and remote sensing</subfield><subfield code="2">sigle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer graphics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Filters (Mathematics)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fissher, Robert B.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="810" ind1="2" ind2=" "><subfield code="a">Department of Artificial Intelligence: DAI research paper</subfield><subfield code="t">University &lt;Edinburgh&gt;</subfield><subfield code="v">817</subfield><subfield code="w">(DE-604)BV010450646</subfield><subfield code="9">817</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-007400448</subfield></datafield></record></collection>
id DE-604.BV011050045
illustrated Not Illustrated
indexdate 2024-12-23T14:22:12Z
institution BVB
language English
oai_aleph_id oai:aleph.bib-bvb.de:BVB01-007400448
oclc_num 36466372
open_access_boolean
owner DE-91G
DE-BY-TUM
owner_facet DE-91G
DE-BY-TUM
physical [10] S.
publishDate 1996
publishDateSearch 1996
publishDateSort 1996
record_format marc
series2 University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
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