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Detail publikace
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/" }