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Efficient Depth Propagation for Constructing a Layered Depth Image from a Single Image
Author(s) -
Iizuka S.,
Endo Y.,
Kanamori Y.,
Mitani J.,
Fukui Y.
Publication year - 2014
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.12496
Subject(s) - computer science , depth map , computer vision , weighting , interpolation (computer graphics) , artificial intelligence , computer graphics (images) , texture mapping , image (mathematics) , computation , discontinuity (linguistics) , layer (electronics) , geodesic , surface (topology) , algorithm , mathematics , geometry , medicine , mathematical analysis , chemistry , organic chemistry , radiology
In this paper, we propose an interactive technique for constructing a 3D scene via sparse user inputs. We represent a 3D scene in the form of a Layered Depth Image (LDI) which is composed of a foreground layer and a background layer, and each layer has a corresponding texture and depth map. Given user‐specified sparse depth inputs, depth maps are computed based on superpixels using interpolation with geodesic‐distance weighting and an optimization framework. This computation is done immediately, which allows the user to edit the LDI interactively. Additionally, our technique automatically estimates depth and texture in occluded regions using the depth discontinuity. In our interface, the user paints strokes on the 3D model directly. The drawn strokes serve as 3D handles with which the user can pull out or push the 3D surface easily and intuitively with real‐time feedback. We show our technique enables efficient modeling of LDI that produce sufficient 3D effects.