Fast Preprocessing for Robust Face Sketch Synthesis
August 01, 2017 Β· Declared Dead Β· π International Joint Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Yibing Song, Jiawei Zhang, Linchao Bao, Qingxiong Yang
arXiv ID
1708.00224
Category
cs.CV: Computer Vision
Cross-listed
cs.AI,
cs.GR,
cs.MM
Citations
21
Venue
International Joint Conference on Artificial Intelligence
Last Checked
3 months ago
Abstract
Exemplar-based face sketch synthesis methods usually meet the challenging problem that input photos are captured in different lighting conditions from training photos. The critical step causing the failure is the search of similar patch candidates for an input photo patch. Conventional illumination invariant patch distances are adopted rather than directly relying on pixel intensity difference, but they will fail when local contrast within a patch changes. In this paper, we propose a fast preprocessing method named Bidirectional Luminance Remapping (BLR), which interactively adjust the lighting of training and input photos. Our method can be directly integrated into state-of-the-art exemplar-based methods to improve their robustness with ignorable computational cost.
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