Construction of 3D Views from Stereoscopic Triplets of Images
Identifieur interne : 003167 ( Crin/Checkpoint ); précédent : 003166; suivant : 003168Construction of 3D Views from Stereoscopic Triplets of Images
Auteurs : D. Gemmerlé ; A. Filbois ; H. ChabbiSource :
English descriptors
- KwdEn :
Abstract
We present an approach to construct 3D facets using trinocular stereovision and characterize them by a set of reliable attributs. A facet of polyedric objet is supposed to be projeted on the image plane as an homogeneous region surrounding by a chain of 2D segments. These ordered chains, called \emph{2D facets}, are extracted from each image of a stereoscopic triplet using a cooperation between single contour map and a serie of region maps. These maps are automatically generated according to a coarse-to-fine approach, in order to make the most contrasted regions first appear. 3D facets are then reconstructed by a technique based on a cooperation of 2D information (2D facets and 2D segments) and 3D information (3D segments provided by a stereovision algorithm). The difficult point is the ordering of the 3D segments constituting the sides of a 3D facet, and is solved by an original algorithm which uses the ordering of three matched 2D facets. Each 3D facet is characterized by a set of intrinsic and extrinsic parameters in order to be efficiently used during the 3D reconstruction of the object to be modelled. As an example, we explain the estimation of the surface of a facet.
Links toward previous steps (curation, corpus...)
Links to Exploration step
CRIN:gemmerle94bLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="137">Construction of 3D Views from Stereoscopic Triplets of Images</title></titleStmt><publicationStmt><idno type="RBID">CRIN:gemmerle94b</idno><date when="1994" year="1994">1994</date><idno type="wicri:Area/Crin/Corpus">001596</idno><idno type="wicri:Area/Crin/Curation">001596</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">001596</idno><idno type="wicri:Area/Crin/Checkpoint">003167</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">003167</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Construction of 3D Views from Stereoscopic Triplets of Images</title><author><name sortKey="Gemmerle, D" sort="Gemmerle, D" uniqKey="Gemmerle D" first="D." last="Gemmerlé">D. Gemmerlé</name></author><author><name sortKey="Filbois, A" sort="Filbois, A" uniqKey="Filbois A" first="A." last="Filbois">A. Filbois</name></author><author><name sortKey="Chabbi, H" sort="Chabbi, H" uniqKey="Chabbi H" first="H." last="Chabbi">H. Chabbi</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>2D</term><term>3D</term><term>facet</term><term>modelization</term><term>reconstruction</term><term>region</term><term>stereovision</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="3607">We present an approach to construct 3D facets using trinocular stereovision and characterize them by a set of reliable attributs. A facet of polyedric objet is supposed to be projeted on the image plane as an homogeneous region surrounding by a chain of 2D segments. These ordered chains, called \emph{2D facets}, are extracted from each image of a stereoscopic triplet using a cooperation between single contour map and a serie of region maps. These maps are automatically generated according to a coarse-to-fine approach, in order to make the most contrasted regions first appear. 3D facets are then reconstructed by a technique based on a cooperation of 2D information (2D facets and 2D segments) and 3D information (3D segments provided by a stereovision algorithm). The difficult point is the ordering of the 3D segments constituting the sides of a 3D facet, and is solved by an original algorithm which uses the ordering of three matched 2D facets. Each 3D facet is characterized by a set of intrinsic and extrinsic parameters in order to be efficiently used during the 3D reconstruction of the object to be modelled. As an example, we explain the estimation of the surface of a facet.</div></front></TEI><BibTex type="inproceedings"><ref>gemmerle94b</ref><crinnumber>94-R-218</crinnumber><category>3</category><equipe>MOVI</equipe><author><e>Gemmerlé, D.</e><e>Filbois, A.</e><e>Chabbi, H.</e></author><title>Construction of 3D Views from Stereoscopic Triplets of Images</title><booktitle>{Proceedings First IEEE International Conference on Image Processing, Austin (USA)}</booktitle><year>1994</year><editor>B. Werner</editor><volume>II</volume><pages>715-719</pages><month>nov</month><publisher>IEEE Computer Society Press</publisher><keywords><e>2D</e><e>3D</e><e>stereovision</e><e>region</e><e>facet</e><e>reconstruction</e><e>modelization</e></keywords><abstract>We present an approach to construct 3D facets using trinocular stereovision and characterize them by a set of reliable attributs. A facet of polyedric objet is supposed to be projeted on the image plane as an homogeneous region surrounding by a chain of 2D segments. These ordered chains, called \emph{2D facets}, are extracted from each image of a stereoscopic triplet using a cooperation between single contour map and a serie of region maps. These maps are automatically generated according to a coarse-to-fine approach, in order to make the most contrasted regions first appear. 3D facets are then reconstructed by a technique based on a cooperation of 2D information (2D facets and 2D segments) and 3D information (3D segments provided by a stereovision algorithm). The difficult point is the ordering of the 3D segments constituting the sides of a 3D facet, and is solved by an original algorithm which uses the ordering of three matched 2D facets. Each 3D facet is characterized by a set of intrinsic and extrinsic parameters in order to be efficiently used during the 3D reconstruction of the object to be modelled. As an example, we explain the estimation of the surface of a facet.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Crin/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003167 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Crin/Checkpoint/biblio.hfd -nk 003167 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Crin
|étape= Checkpoint
|type= RBID
|clé= CRIN:gemmerle94b
|texte= Construction of 3D Views from Stereoscopic Triplets of Images
}}
| This area was generated with Dilib version V0.6.33. |  |