Proceedings ArticleDOI
High-order regularization for stereo color editing
Kuo-Chin Lien,Jerry D. Gibson,Matthew Turk +2 more
- pp 1633-1637
TLDR
This paper pioneers a method for local color editing on stereo image pairs by introducing recent advances in the field of image segmentation, thus allowing a user's edits in one view to be simultaneously performed in the other view.Abstract:
This paper pioneers a method for local color editing on stereo image pairs. We generalize the conventional edit propagation framework to stereo views by introducing recent advances in the field of image segmentation, thus allowing a user's edits in one view to be simultaneously performed in the other view. This new formulation maintains consistent editing quality in both views and avoids singularities by solving a well regularized linear system for edit propagation.read more
Citations
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Patent
Device and method for editing a virtual reality scene represented in a curved shape form
TL;DR: In this article, a virtual reality scene (21) represented in a curved shape form is edited by extracting (11A, 11B) planar key views (24A, 24B), obtaining (13, 14) edited versions (27A, 27B) of those key views having respective edits, and propagating (15A, 15B) those edits to at least part of the VR scene.
References
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Book
Iterative Methods for Sparse Linear Systems
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Journal ArticleDOI
Mean shift: a robust approach toward feature space analysis
Dorin Comaniciu,Peter Meer +1 more
TL;DR: It is proved the convergence of a recursive mean shift procedure to the nearest stationary point of the underlying density function and, thus, its utility in detecting the modes of the density.
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Learning to Detect a Salient Object
TL;DR: A set of novel features, including multiscale contrast, center-surround histogram, and color spatial distribution, are proposed to describe a salient object locally, regionally, and globally.
Journal ArticleDOI
A Closed-Form Solution to Natural Image Matting
TL;DR: A closed-form solution to natural image matting that allows us to find the globally optimal alpha matte by solving a sparse linear system of equations and predicts the properties of the solution by analyzing the eigenvectors of a sparse matrix, closely related to matrices used in spectral image segmentation algorithms.
Journal ArticleDOI
Colorization using optimization
TL;DR: This paper presents a simple colorization method that requires neither precise image segmentation, nor accurate region tracking, and demonstrates that high quality colorizations of stills and movie clips may be obtained from a relatively modest amount of user input.