Publikation:

A Variational Model for Intrinsic Light Field Decomposition

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2017

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

European Union (EU): 336978

Projekt

LIA - Light Field Imaging and Analysis
Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

LAI, Shang-Hong, ed., Vincent LEPETIT, ed., Ko NISHINO, ed., Yoichi SATO, ed.. Computer Vision – ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Cham: Springer International Publishing, 2017, pp. 66-82. Lecture Notes in Computer Science. 10113. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-54186-0. Available under: doi: 10.1007/978-3-319-54187-7_5

Zusammenfassung

We present a novel variational model for intrinsic light field decomposition, which is performed on four-dimensional ray space instead of a traditional 2D image. As most existing intrinsic image algorithms are designed for Lambertian objects, their performance suffers when considering scenes which exhibit glossy surfaces. In contrast, the rich structure of the light field with many densely sampled views allows us to cope with non-Lambertian objects by introducing an additional decomposition term that models specularity. Regularization along the epipolar plane images further encourages albedo and shading consistency across views. In evaluations of our method on real-world data sets captured with a Lytro Illum plenoptic camera, we demonstrate the advantages of our approach with respect to intrinsic image decomposition and specular removal.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

13th Asian Conference on Computer Vision, 20. Nov. 2016 - 24. Nov. 2016, Taipei, Taiwan
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ALPEROVICH, Anna, Bastian GOLDLÜCKE, 2017. A Variational Model for Intrinsic Light Field Decomposition. 13th Asian Conference on Computer Vision. Taipei, Taiwan, 20. Nov. 2016 - 24. Nov. 2016. In: LAI, Shang-Hong, ed., Vincent LEPETIT, ed., Ko NISHINO, ed., Yoichi SATO, ed.. Computer Vision – ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III. Cham: Springer International Publishing, 2017, pp. 66-82. Lecture Notes in Computer Science. 10113. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-54186-0. Available under: doi: 10.1007/978-3-319-54187-7_5
BibTex
@inproceedings{Alperovich2017Varia-41868,
  year={2017},
  doi={10.1007/978-3-319-54187-7_5},
  title={A Variational Model for Intrinsic Light Field Decomposition},
  number={10113},
  isbn={978-3-319-54186-0},
  issn={0302-9743},
  publisher={Springer International Publishing},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Computer Vision – ACCV 2016 : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III},
  pages={66--82},
  editor={Lai, Shang-Hong and Lepetit, Vincent and Nishino, Ko and Sato, Yoichi},
  author={Alperovich, Anna and Goldlücke, Bastian}
}
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/123456789/41868">
    <dcterms:title>A Variational Model for Intrinsic Light Field Decomposition</dcterms:title>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Alperovich, Anna</dc:creator>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41868"/>
    <dcterms:abstract xml:lang="eng">We present a novel variational model for intrinsic light field decomposition, which is performed on four-dimensional ray space instead of a traditional 2D image. As most existing intrinsic image algorithms are designed for Lambertian objects, their performance suffers when considering scenes which exhibit glossy surfaces. In contrast, the rich structure of the light field with many densely sampled views allows us to cope with non-Lambertian objects by introducing an additional decomposition term that models specularity. Regularization along the epipolar plane images further encourages albedo and shading consistency across views. In evaluations of our method on real-world data sets captured with a Lytro Illum plenoptic camera, we demonstrate the advantages of our approach with respect to intrinsic image decomposition and specular removal.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <dc:creator>Goldlücke, Bastian</dc:creator>
    <dcterms:issued>2017</dcterms:issued>
    <dc:contributor>Goldlücke, Bastian</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-03-21T08:53:49Z</dc:date>
    <dc:contributor>Alperovich, Anna</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-03-21T08:53:49Z</dcterms:available>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen