Pushpins for Edit Propagation
In proceedings of International Conference on Computer Graphics, Visualization and Computer Vision (to appear), 2017
Abstract
In this paper we present an approach for stroke-input based foreground estimation of measured materials with a near regular structure. To enable extraction of high-quality editing masks even from difficult materials, we combine a state of the art lattice-detection algorithm with a novel frequency convolution scheme, which we call pushpins. Despite being highly specialized, we consider this use-case as important for material design. A comparison with other state of the art editing and material recognition approaches will give proof of the robustness and ability of our algorithm.
Images
![]() |
Download Paper
Bibtex
@INPROCEEDINGS{mylo-2017-pushpins, author = {Mylo, Marlon and Klein, Reinhard}, title = {Pushpins for Edit Propagation}, booktitle = {International Conference on Computer Graphics, Visualization and Computer Vision (to appear)}, year = {2017}, abstract = {In this paper we present an approach for stroke-input based foreground estimation of measured materials with a near regular structure. To enable extraction of high-quality editing masks even from difficult materials, we combine a state of the art lattice-detection algorithm with a novel frequency convolution scheme, which we call pushpins. Despite being highly specialized, we consider this use-case as important for material design. A comparison with other state of the art editing and material recognition approaches will give proof of the robustness and ability of our algorithm.} }