Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162013
Title: A portrait photo-to-tattoo transform based on digital tattooing
Authors: Xu, Xingpeng
Matkowski, Wojciech Michal
Kong, Adams Wai Kin
Keywords: Engineering::Computer science and engineering
Issue Date: 2020
Source: Xu, X., Matkowski, W. M. & Kong, A. W. K. (2020). A portrait photo-to-tattoo transform based on digital tattooing. Multimedia Tools and Applications, 79(33-34), 24367-24392. https://dx.doi.org/10.1007/s11042-020-09101-3
Project: RG30/17 (S)
Journal: Multimedia Tools and Applications
Abstract: Tattooing portraits of loved ones is a popular form of love expression and tribute. Tattooing portraits is complicated and challenging because of detailed facial expressions and unique characters of each person. Currently, it is hard for clients to give clear instructions on tattoo designs to tattooists, because there is no effective way to see a portrait tattoo before putting it on the body. In this paper, an algorithm which transforms a given portrait photo to a portrait tattoo is proposed. It takes a portrait photo, a reference portrait tattoo image, a skin image and a set of parameters as inputs. The portrait photo is the person’s face whom the client wants to put on his/her skin. The reference portrait tattoo image is used to control the color and style of the synthetic portrait tattoo. The skin image is taken from the skin region where the client wants to tattoo. By adjusting the parameters, portrait tattoos with different characteristics can be generated. The proposed algorithm uses a series of tailor-made image processing methods and a digital tattoo needle model to perform digital tattooing on the skin image. Comparing with the state-of-the-art style transfer methods, the proposed algorithm produces more realistic portrait tattoos.
URI: https://hdl.handle.net/10356/162013
ISSN: 1380-7501
DOI: 10.1007/s11042-020-09101-3
Rights: © 2020 Springer Science+Business Media, LLC, part of Springer Nature. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

SCOPUSTM   
Citations 50

2
Updated on Nov 23, 2022

Web of ScienceTM
Citations 50

1
Updated on Nov 27, 2022

Page view(s)

11
Updated on Nov 30, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.