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Fast Preprocessing for Robust Face Sketch Synthesis

Yibing Song, Jiawei Zhang, Linchao Bao*, Qingxiong Yang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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-theart exemplar-based methods to improve their robustness with ignorable computational cost.
Original languageEnglish
Title of host publicationProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17)
EditorsCarles Sierra
PublisherInternational Joint Conferences on Artificial Intelligence
Pages4530-4536
ISBN (Electronic)9780999241103
DOIs
Publication statusPublished - Aug 2017
Event26th International Joint Conference on Artificial Intelligence (IJCAI 2017) - Melbourne, Australia
Duration: 19 Aug 201725 Aug 2017
https://www.ijcai.org/proceedings/2017/

Publication series

Name
ISSN (Print)1045-0823

Conference

Conference26th International Joint Conference on Artificial Intelligence (IJCAI 2017)
PlaceAustralia
CityMelbourne
Period19/08/1725/08/17
Internet address

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

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