Rerendering Landscape Photographs
File(s)CVMP 2014.pdf (4.45 MB)
Accepted version
Author(s)
Wang, P
Bicazan, D
Ghosh, A
Type
Conference Paper
Abstract
We present a practical approach for realistic rerendering of landscape photographs. We extract a view dependent depth map from single input landscape images by examining global and local pixel color distributions and demonstrate applications of depth dependent rendering such as novel viewpoints, digital refocusing and dehazing.
We also present a simple approach to relight the input landscape photograph under novel sky illumination. Here, we assume diffuse reflectance and relight landscapes by estimating the irradiance due the sky in the input photograph. Finally, we also take
into account specular reflections on water surfaces which are common in landscape photography and demonstrate a semiautomatic process for relighting scenes with still water.
We also present a simple approach to relight the input landscape photograph under novel sky illumination. Here, we assume diffuse reflectance and relight landscapes by estimating the irradiance due the sky in the input photograph. Finally, we also take
into account specular reflections on water surfaces which are common in landscape photography and demonstrate a semiautomatic process for relighting scenes with still water.
Date Issued
2014-11-13
Date Acceptance
2013-11-13
Citation
Proceedings of the 11th European Conference on Visual Media Production, 2014
ISBN
978-1-4503-3185-2
Publisher
Association for Computing Machinery
Journal / Book Title
Proceedings of the 11th European Conference on Visual Media Production
Copyright Statement
© ACM, 2014. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 11th European Conference on Visual Media Production, http://doi.acm.org/10.1145/2668904.2668942
Source
CVMP '14 11th European Conference on Visual Media Production (CVMP 2014)
Start Date
2014-11-13
Finish Date
2014-11-14
Coverage Spatial
London