Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination

Sulc, Antonin; Johannsen, Ole; Goldlücke, Bastian

Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2018

Autor:innen

Sulc, Antonin

Johannsen, Ole

Goldlücke, Bastian

DOI (zitierfähiger Link)

https://doi.org/10.1007/978-3-319-78199-0_25

Angaben zur Forschungsförderung

European Union (EU): 336978

Projekt

LIA - Light Field Imaging and Analysis

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

PELILLO, Marcello, ed., Edwin HANCOCK, ed.. Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, revised selected papers. Cham: Springer, 2018, pp. 372-388. Lecture Notes in Computer Science. 10746. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-78198-3. Available under: doi: 10.1007/978-3-319-78199-0_25

Zusammenfassung

We propose an inverse rendering model for light fields to recover surface normals, depth, reflectance and natural illumination. Our setting is fully uncalibrated, with the reflectance modeled with a spatially-constant Blinn-Phong model and illumination as an environment map. While previous work makes strong assumptions in this difficult scenario, focusing solely on specific types of objects like faces or imposing very strong priors, our approach leverages only the light field structure, where a solution consistent across all subaperture views is sought. The optimization is based primarily on shading, which is sensitive to fine geometric details which are propagated to the initial coarse depth map. Despite the problem being inherently ill-posed, we achieve encouraging results on synthetic as well as real-world data.

Fachgebiet (DDC)

004 Informatik

Konferenz

11th International Conference, EMMCVPR 2017, 30. Okt. 2017 - 1. Nov. 2017, Venice, Italy

Zitieren

ISO 690

SULC, Antonin, Ole JOHANNSEN, Bastian GOLDLÜCKE, 2018. Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination. 11th International Conference, EMMCVPR 2017. Venice, Italy, 30. Okt. 2017 - 1. Nov. 2017. In: PELILLO, Marcello, ed., Edwin HANCOCK, ed.. Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, revised selected papers. Cham: Springer, 2018, pp. 372-388. Lecture Notes in Computer Science. 10746. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-319-78198-3. Available under: doi: 10.1007/978-3-319-78199-0_25

BibTex

@inproceedings{Sulc2018Inver-42738,
  year={2018},
  doi={10.1007/978-3-319-78199-0_25},
  title={Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination},
  number={10746},
  isbn={978-3-319-78198-3},
  issn={0302-9743},
  publisher={Springer},
  address={Cham},
  series={Lecture Notes in Computer Science},
  booktitle={Energy Minimization Methods in Computer Vision and Pattern Recognition : 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, revised selected papers},
  pages={372--388},
  editor={Pelillo, Marcello and Hancock, Edwin},
  author={Sulc, Antonin and Johannsen, Ole and Goldlücke, Bastian}
}

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Universitätsbibliographie

Ja