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Efficient Variational Light Field View Synthesis For Making Stereoscopic 3D Images
Author(s) -
Zhang Lei,
Zhang YuHang,
Huang Hua
Publication year - 2015
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.12757
Subject(s) - stereoscopy , perspective (graphical) , computer science , light field , artificial intelligence , computer vision , field (mathematics) , stereopsis , pixel , generative grammar , computer graphics (images) , algorithm , mathematics , pure mathematics
We present a novel approach for making stereoscopic images by variational view synthesis on the multi‐perspective light field. With the intended disparities as constraints, we specialize the generative variational model by incorporating per‐pixel viewpoint assignment to synthesize the stereo pair. Also, we improve the variational solution by use of explicit weighted average on the light field. Our algorithm is able to handle arbitrary disparity remapping, thus enabling more flexible disparity control for the desired stereoscopic effect. The experiments demonstrate the effectiveness and efficiency for making the stereoscopic 3D images based on the light field.