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ČADÍK, M. SÝKORA, D. LEE, S.
Original Title
Automated outdoor depth-map generation and alignment
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Image enhancement Synthetic depth 3D terrain Free-form warping Image registration Synthetic camera
Authors
ČADÍK, M.; SÝKORA, D.; LEE, S.
Released
30. 5. 2018
ISBN
0097-8493
Periodical
COMPUTERS & GRAPHICS-UK
Year of study
74
Number
3
State
United Kingdom of Great Britain and Northern Ireland
Pages from
109
Pages to
118
Pages count
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/" }
Documents
Automated outdoor depth-map generation and alignment.pdf