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Gradient‐Guided Local Disparity Editing
Author(s) -
Scandolo Leonardo,
Bauszat Pablo,
Eisemann Elmar
Publication year - 2019
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.13537
Subject(s) - stereoscopy , computer science , focus (optics) , computer vision , artificial intelligence , dimension (graph theory) , task (project management) , depth perception , computer graphics (images) , human–computer interaction , perception , mathematics , physics , management , neuroscience , pure mathematics , optics , economics , biology
Stereoscopic 3D technology gives visual content creators a new dimension of design when creating images and movies. While useful for conveying emotion, laying emphasis on certain parts of the scene, or guiding the viewer's attention, editing stereo content is a challenging task. Not respecting comfort zones or adding incorrect depth cues, for example depth inversion, leads to a poor viewing experience. In this paper, we present a solution for editing stereoscopic content that allows an artist to impose disparity constraints and removes resulting depth conflicts using an optimization scheme. Using our approach, an artist only needs to focus on important high‐level indications that are automatically made consistent with the entire scene while avoiding contradictory depth cues and respecting viewer comfort.