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EnvyDepth: An Interface for Recovering Local Natural Illumination from Environment Maps
Author(s) -
Banterle Francesco,
Callieri Marco,
Dellepiane Matteo,
Corsini Massimiliano,
Pellacini Fabio,
Scopigno Roberto
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12249
Subject(s) - computer science , pipeline (software) , computer graphics (images) , computer vision , interface (matter) , artificial intelligence , point (geometry) , geometry , mathematics , bubble , maximum bubble pressure method , parallel computing , programming language
In this paper, we present EnvyDepth, an interface for recovering local illumination from a single HDR environment map. In EnvyDepth, the user quickly indicates strokes to mark regions of the environment map that should be grouped together in a single geometric primitive. From these annotated strokes, EnvyDepth uses edit propagation to create a detailed collection of virtual point lights that reproduce both the local and the distant lighting effects in the original scene. When compared to the sole use of the distant illumination, the added spatial information better reproduces a variety of local effects such as shadows, highlights and caustics. Without the effort needed to create precise scene reconstructions, EnvyDepth annotations take only tens of seconds to produce a plausible lighting without visible artifacts. This is easy to obtain even in the case of complex scenes, both indoors and outdoors. The generated lighting environments work well in a production pipeline since they are efficient to use and able to produce accurate renderings.