Novel view synthesis from two cartoon face drawings

Hojin Choi; Seungkyu Lee

doi:10.1145/3102163.3102229

Novel view synthesis from two cartoon face drawings

Hojin Choi
, Seungkyu Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a framework for novel view synthesis for a cartoon face given two images of key views such as front and side views. Due to the structure inconsistency of cartoon faces in manually drawn images, matching region detection between different views is a challenging task.We propose a local complexity based segmentation that grabs facial components such as eyes, eyebrows and mouth that are not clearly separated by contour in cartoon faces. We automatically find the matching region in the two input key images and morph them to create intermediate views.

Original language	English
Title of host publication	ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450350150
DOIs	https://doi.org/10.1145/3102163.3102229
Publication status	Published - 30 Jul 2017
Event	44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 - Los Angeles, United States Duration: 30 Jul 2017 → 3 Aug 2017

Publication series

Name	ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017

Conference

Conference	44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017
Country/Territory	United States
City	Los Angeles
Period	30/07/17 → 3/08/17

Bibliographical note

Publisher Copyright:
© 2017 Copyright held by the owner/author(s).

Keywords

Cartoon synthesis
Image morphing
Registration
Segmentation

Access to Document

10.1145/3102163.3102229

Cite this

@inproceedings{c249944718c647028e3da2731d5bf112,

title = "Novel view synthesis from two cartoon face drawings",

abstract = "We propose a framework for novel view synthesis for a cartoon face given two images of key views such as front and side views. Due to the structure inconsistency of cartoon faces in manually drawn images, matching region detection between different views is a challenging task.We propose a local complexity based segmentation that grabs facial components such as eyes, eyebrows and mouth that are not clearly separated by contour in cartoon faces. We automatically find the matching region in the two input key images and morph them to create intermediate views.",

keywords = "Cartoon synthesis, Image morphing, Registration, Segmentation",

author = "Hojin Choi and Seungkyu Lee",

note = "Publisher Copyright: {\textcopyright} 2017 Copyright held by the owner/author(s).; 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 ; Conference date: 30-07-2017 Through 03-08-2017",

year = "2017",

month = jul,

day = "30",

doi = "10.1145/3102163.3102229",

language = "English",

series = "ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017",

publisher = "Association for Computing Machinery, Inc",

booktitle = "ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017",

}

Choi, H & Lee, S 2017, Novel view synthesis from two cartoon face drawings. in ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017., a8, ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017, Association for Computing Machinery, Inc, 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017 , Los Angeles, United States, 30/07/17. https://doi.org/10.1145/3102163.3102229

TY - GEN

T1 - Novel view synthesis from two cartoon face drawings

AU - Choi, Hojin

AU - Lee, Seungkyu

PY - 2017/7/30

Y1 - 2017/7/30

N2 - We propose a framework for novel view synthesis for a cartoon face given two images of key views such as front and side views. Due to the structure inconsistency of cartoon faces in manually drawn images, matching region detection between different views is a challenging task.We propose a local complexity based segmentation that grabs facial components such as eyes, eyebrows and mouth that are not clearly separated by contour in cartoon faces. We automatically find the matching region in the two input key images and morph them to create intermediate views.

AB - We propose a framework for novel view synthesis for a cartoon face given two images of key views such as front and side views. Due to the structure inconsistency of cartoon faces in manually drawn images, matching region detection between different views is a challenging task.We propose a local complexity based segmentation that grabs facial components such as eyes, eyebrows and mouth that are not clearly separated by contour in cartoon faces. We automatically find the matching region in the two input key images and morph them to create intermediate views.

KW - Cartoon synthesis

KW - Image morphing

KW - Registration

KW - Segmentation

UR - https://www.scopus.com/pages/publications/85028605402

U2 - 10.1145/3102163.3102229

DO - 10.1145/3102163.3102229

M3 - Conference contribution

AN - SCOPUS:85028605402

T3 - ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017

BT - ACM SIGGRAPH 2017 Posters, SIGGRAPH 2017

PB - Association for Computing Machinery, Inc

T2 - 44th International Conference on Computer Graphics and Interactive Techniques, ACM SIGGRAPH 2017

Y2 - 30 July 2017 through 3 August 2017

ER -

Novel view synthesis from two cartoon face drawings

Abstract

Publication series

Conference

Bibliographical note

Keywords

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