Recognizing and locating polyhedral objects from sparse range data
Identifieur interne : 000545 ( Crin/Corpus ); précédent : 000544; suivant : 000546Recognizing and locating polyhedral objects from sparse range data
Auteurs : S. Qiang ; R. MohrSource :
English descriptors
- KwdEn :
Abstract
This paper describes a model based approach for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Having transformed all the feasible models to the scene space, further strategy for additional scanning positions is made to uniquely distinguish the object.
Links to Exploration step
CRIN:qiang88aLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="386">Recognizing and locating polyhedral objects from sparse range data</title></titleStmt><publicationStmt><idno type="RBID">CRIN:qiang88a</idno><date when="1988" year="1988">1988</date><idno type="wicri:Area/Crin/Corpus">000545</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Recognizing and locating polyhedral objects from sparse range data</title><author><name sortKey="Qiang, S" sort="Qiang, S" uniqKey="Qiang S" first="S." last="Qiang">S. Qiang</name></author><author><name sortKey="Mohr, R" sort="Mohr, R" uniqKey="Mohr R" first="R." last="Mohr">R. Mohr</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>computer vision</term><term>range data</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="1730">This paper describes a model based approach for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Having transformed all the feasible models to the scene space, further strategy for additional scanning positions is made to uniquely distinguish the object.</div></front></TEI><BibTex type="inproceedings"><ref>qiang88a</ref><crinnumber>87-R-131</crinnumber><category>3</category><equipe>INCONNUE</equipe><author><e>Qiang, S.</e><e>Mohr, R.</e></author><title>Recognizing and locating polyhedral objects from sparse range data</title><booktitle>{Proceedings 9th International Conference on Pattern Recognition, Rome}</booktitle><year>1988</year><month>oct</month><keywords><e>computer vision</e><e>range data</e></keywords><abstract>This paper describes a model based approach for recognizing and locating polyhedral objects from sparse light-stripe data. Based on two scans, consistent interpretations are provided by locating scanned line segments on the faces of a set of known objects. The transformation associated with each interpretation is estimated. Having transformed all the feasible models to the scene space, further strategy for additional scanning positions is made to uniquely distinguish the object.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Crin/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000545 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Crin/Corpus/biblio.hfd -nk 000545 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Crin
|étape= Corpus
|type= RBID
|clé= CRIN:qiang88a
|texte= Recognizing and locating polyhedral objects from sparse range data
}}
| This area was generated with Dilib version V0.6.33. |  |