Evaluation of texture registration by epipolar geometry

Cleju, Ioan; Saupe, Dietmar

Evaluation of texture registration by epipolar geometry

Dateien

cleju_saupe.pdfGröße: 3.41 MBDownloads: 352

Datum

2010

Publikationstyp

Zeitschriftenartikel

unikn.publication.listelement.citation.prefix.version.undefined

The Visual Computer. 2010, 26(11), pp. 1407-1420. ISSN 0178-2789. Available under: doi: 10.1007/s00371-010-0427-0

Zusammenfassung

In the process of digitizing the geometry and appearance of 3D objects, texture registration is a necessary step that solves the 2D–3D mapping between the 2D texture images and the 3D geometric model. For evaluation of texture registration with ground truth, accurate datasets can be obtained with a complex setup consisting of calibrated geometry and texture capture devices.We do not have any knowledge of such evaluation performed; current evaluations reflect, at their best, the precision achieved by the algorithms, but fail to identify a possible bias. We propose a new evaluation measure based on the epipolar geometry of texture image pairs, with the advantage that the ground truth can be extracted solely from the texture images, independent of the 3D acquisition. We developed a noise model suitable to our purpose and analysed three distance measures based on epipolar geometry, well known in the computer vision community, to find new theoretical and experimental results. Finally, using the proposed framework, we evaluated a texture registration algorithm based on mutual information and found that its accuracy was under half-pixel.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Texture registration, Epipolar geometry, Epipolar distances, Experimental evaluation, Mutual information

Zitieren

ISO 690

CLEJU, Ioan, Dietmar SAUPE, 2010. Evaluation of texture registration by epipolar geometry. In: The Visual Computer. 2010, 26(11), pp. 1407-1420. ISSN 0178-2789. Available under: doi: 10.1007/s00371-010-0427-0

BibTex

@article{Cleju2010Evalu-14521,
  year={2010},
  doi={10.1007/s00371-010-0427-0},
  title={Evaluation of texture registration by epipolar geometry},
  number={11},
  volume={26},
  issn={0178-2789},
  journal={The Visual Computer},
  pages={1407--1420},
  author={Cleju, Ioan and Saupe, Dietmar}
}

RDF

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/14521">
    <dc:language>eng</dc:language>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/14521/2/cleju_saupe.pdf"/>
    <dcterms:issued>2010</dcterms:issued>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>Evaluation of texture registration by epipolar geometry</dcterms:title>
    <dc:creator>Saupe, Dietmar</dc:creator>
    <dcterms:abstract xml:lang="eng">In the process of digitizing the geometry and appearance of 3D objects, texture registration is a necessary step that solves the 2D–3D mapping between the 2D texture images and the 3D geometric model. For evaluation of texture registration with ground truth, accurate datasets can be obtained with a complex setup consisting of calibrated geometry and texture capture devices.We do not have any knowledge of such evaluation performed; current evaluations reflect, at their best, the precision achieved by the algorithms, but fail to identify a possible bias. We propose a new evaluation measure based on the epipolar geometry of texture image pairs, with the advantage that the ground truth can be extracted solely from the texture images, independent of the 3D acquisition. We developed a noise model suitable to our purpose and analysed three distance measures based on epipolar geometry, well known in the computer vision community, to find new theoretical and experimental results. Finally, using the proposed framework, we evaluated a texture registration algorithm based on mutual information and found that its accuracy was under half-pixel.</dcterms:abstract>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-11-10T08:25:38Z</dcterms:available>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/14521/2/cleju_saupe.pdf"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/14521"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-11-10T08:25:38Z</dc:date>
    <dcterms:bibliographicCitation>First publ. in: The Visual Computer ; 26 (2010), 11. - S. 1407-1420</dcterms:bibliographicCitation>
    <dc:contributor>Cleju, Ioan</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:rights>terms-of-use</dc:rights>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Cleju, Ioan</dc:creator>
    <dc:contributor>Saupe, Dietmar</dc:contributor>
  </rdf:Description>
</rdf:RDF>

Universitätsbibliographie

Ja