An Image-based Approach for Detecting Faces Carved in Heritage Monuments

Lai Yu-Kun; Karina Rodriguez Echavarria; Ran Song; Paul Rosin

doi:10.2312/gch.20181365

An Image-based Approach for Detecting Faces Carved in Heritage Monuments

Lai Yu-Kun
, Karina Rodriguez Echavarria
, Ran Song
, Paul Rosin

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Original language	English
Title of host publication	16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage
Publisher	Eurographics Association
ISBN (Print)	9783038680574
DOIs	https://doi.org/10.2312/gch.20181365
Publication status	Accepted/In press - 2018
Event	The 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH) - Vienna, Austria Duration: 12 Nov 2018 → 15 Nov 2018 http://2018.visualheritage.org/

Publication series

Name	Workshop on Graphics and Cultural Heritage
Publisher	The Eurographics Association
ISSN (Electronic)	2312-6124

Workshop

Workshop	The 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH)
Country/Territory	Austria
City	Vienna
Period	12/11/18 → 15/11/18
Internet address	http://2018.visualheritage.org/

Access to Document

10.2312/gch.20181365

An Image-based Approach for Detecting Faces Carved in HeritageAccepted author manuscript, 1.35 MBLicence: Unspecified

Karina Rodriguez Echavarria
- K.Rodriguezbrighton.acuk
- School of Arch, Tech and Eng - Professor of Visual Computing
- Computing and Mathematical Sciences Research Excellence Group
- Centre for Design History
- Centre for Regenerative Medicine and Devices
Person: Academic

Project on machine learning (ML) technologies for digital media asset management
Rodriguez Echavarria, K. (Chair) & Song, R. (Chair)
May 2018 → Jul 2018
Activity: Events › Event

Cite this

@inproceedings{0c155fd2d6644a639a742af4983d6010,

title = "An Image-based Approach for Detecting Faces Carved in Heritage Monuments",

author = "Lai Yu-Kun and \{Rodriguez Echavarria\}, Karina and Ran Song and Paul Rosin",

year = "2018",

doi = "10.2312/gch.20181365",

language = "English",

isbn = "9783038680574",

series = "Workshop on Graphics and Cultural Heritage",

publisher = "Eurographics Association",

booktitle = "16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage",

note = "The 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH) ; Conference date: 12-11-2018 Through 15-11-2018",

url = "http://2018.visualheritage.org/",

}

Yu-Kun, L, Rodriguez Echavarria, K, Song, R & Rosin, P 2018, An Image-based Approach for Detecting Faces Carved in Heritage Monuments. in 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage. Workshop on Graphics and Cultural Heritage, Eurographics Association, The 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH), Vienna, Austria, 12/11/18. https://doi.org/10.2312/gch.20181365

An Image-based Approach for Detecting Faces Carved in Heritage Monuments. / Yu-Kun, Lai; Rodriguez Echavarria, Karina; Song, Ran et al.
16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage. Eurographics Association, 2018. (Workshop on Graphics and Cultural Heritage).

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

TY - GEN

T1 - An Image-based Approach for Detecting Faces Carved in Heritage Monuments

AU - Yu-Kun, Lai

AU - Rodriguez Echavarria, Karina

AU - Song, Ran

AU - Rosin, Paul

PY - 2018

Y1 - 2018

U2 - 10.2312/gch.20181365

DO - 10.2312/gch.20181365

M3 - Conference contribution with ISSN or ISBN

SN - 9783038680574

T3 - Workshop on Graphics and Cultural Heritage

BT - 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage

PB - Eurographics Association

T2 - The 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH)

Y2 - 12 November 2018 through 15 November 2018

ER -

An Image-based Approach for Detecting Faces Carved in Heritage Monuments

Publication series

Workshop

Access to Document

Profiles

Karina Rodriguez Echavarria

Activities

Project on machine learning (ML) technologies for digital media asset management

Cite this