Detail publikace

Automated outdoor depth-map generation and alignment

ČADÍK, M. SÝKORA, D. LEE, S.

Originální název

Automated outdoor depth-map generation and alignment

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Image enhancement tasks can highly benefit from depth information, but the direct estimation of outdoor depth maps is difficult due to vast object distances. This paper presents a fully automatic framework for model-based generation of outdoor depth maps and its applications to image enhancements. We leverage 3D terrain models and camera pose estimation techniques to render approximate depth maps without resorting to manual alignment. Potential local misalignments, resulting from insufficient model details and rough registrations, are eliminated with our novel free-form warping. We first align synthetic depth edges with photo edges using the as-rigid-as-possible image registration and further refine the shape of the edges using the tight trimap-based alpha matting. The resulting synthetic depth maps are accurate, calibrated in the absolute distance. We demonstrate their benefit in image enhancement techniques including reblurring, depth-of-field simulation, haze removal, and guided texture synthesis.

Klíčová slova

Image enhancement Synthetic depth 3D terrain Free-form warping Image registration Synthetic camera

Autoři

ČADÍK, M.; SÝKORA, D.; LEE, S.

Vydáno

30. 5. 2018

ISSN

0097-8493

Periodikum

COMPUTERS & GRAPHICS-UK

Ročník

74

Číslo

3

Stát

Spojené království Velké Británie a Severního Irska

Strany od

109

Strany do

118

Strany počet

10

URL

http://cphoto.fit.vutbr.cz/depth/

BibTex

@article{BUT155059,
  author="ČADÍK, M. and SÝKORA, D. and LEE, S.",
  title="Automated outdoor depth-map generation and alignment",
  journal="COMPUTERS & GRAPHICS-UK",
  year="2018",
  volume="74",
  number="3",
  pages="109--118",
  doi="10.1016/j.cag.2018.05.001",
  issn="0097-8493",
  url="http://cphoto.fit.vutbr.cz/depth/"
}