Facial fattening and slimming simulation based on skull structure

Tsukasa Fukusato, Masahiro Fujisaki, Takuya Kato, Shigeo Morishima

研究成果: Article

抄録

In this paper, we introduce a technique of facial fattening (or slimming) simulation from a frontal facial image. In previous work, data-driven approaches enable a rapid design of fattening and slimming images that reflect realistic facial shapes; however, they focus only on facial surface such as facial landmarks, so it is difficult to consider any anatomical model such as skull structure. Then, we construct a novel facial database, which contains sets of frontal facial image and MRI image. Based on our database, we estimate 2D skull structure from the input image, and define a fattening (or slimming) rule and a skull-based constraint. As a result, we can generate a natural deformed image for fattening and slimming simulation.

元の言語English
ページ(範囲)197-205
ページ数9
ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
46
発行部数1
DOI
出版物ステータスPublished - 2017 1 1

Fingerprint

Magnetic resonance imaging

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Electrical and Electronic Engineering

これを引用

Facial fattening and slimming simulation based on skull structure. / Fukusato, Tsukasa; Fujisaki, Masahiro; Kato, Takuya; Morishima, Shigeo.

:: Journal of the Institute of Image Electronics Engineers of Japan, 巻 46, 番号 1, 01.01.2017, p. 197-205.

研究成果: Article

Fukusato, Tsukasa ; Fujisaki, Masahiro ; Kato, Takuya ; Morishima, Shigeo. / Facial fattening and slimming simulation based on skull structure. :: Journal of the Institute of Image Electronics Engineers of Japan. 2017 ; 巻 46, 番号 1. pp. 197-205.
@article{f8d613affdba403b8f32fb3189379839,
title = "Facial fattening and slimming simulation based on skull structure",
abstract = "In this paper, we introduce a technique of facial fattening (or slimming) simulation from a frontal facial image. In previous work, data-driven approaches enable a rapid design of fattening and slimming images that reflect realistic facial shapes; however, they focus only on facial surface such as facial landmarks, so it is difficult to consider any anatomical model such as skull structure. Then, we construct a novel facial database, which contains sets of frontal facial image and MRI image. Based on our database, we estimate 2D skull structure from the input image, and define a fattening (or slimming) rule and a skull-based constraint. As a result, we can generate a natural deformed image for fattening and slimming simulation.",
keywords = "Fattening and slimming simulation, MRI image, Principal component analysis, Skull landmarks",
author = "Tsukasa Fukusato and Masahiro Fujisaki and Takuya Kato and Shigeo Morishima",
year = "2017",
month = "1",
day = "1",
doi = "10.11371/iieej.46.197",
language = "English",
volume = "46",
pages = "197--205",
journal = "Journal of the Institute of Image Electronics Engineers of Japan",
issn = "0285-9831",
publisher = "Institute of Image Electronics Engineers of Japan",
number = "1",

}

TY - JOUR

T1 - Facial fattening and slimming simulation based on skull structure

AU - Fukusato, Tsukasa

AU - Fujisaki, Masahiro

AU - Kato, Takuya

AU - Morishima, Shigeo

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper, we introduce a technique of facial fattening (or slimming) simulation from a frontal facial image. In previous work, data-driven approaches enable a rapid design of fattening and slimming images that reflect realistic facial shapes; however, they focus only on facial surface such as facial landmarks, so it is difficult to consider any anatomical model such as skull structure. Then, we construct a novel facial database, which contains sets of frontal facial image and MRI image. Based on our database, we estimate 2D skull structure from the input image, and define a fattening (or slimming) rule and a skull-based constraint. As a result, we can generate a natural deformed image for fattening and slimming simulation.

AB - In this paper, we introduce a technique of facial fattening (or slimming) simulation from a frontal facial image. In previous work, data-driven approaches enable a rapid design of fattening and slimming images that reflect realistic facial shapes; however, they focus only on facial surface such as facial landmarks, so it is difficult to consider any anatomical model such as skull structure. Then, we construct a novel facial database, which contains sets of frontal facial image and MRI image. Based on our database, we estimate 2D skull structure from the input image, and define a fattening (or slimming) rule and a skull-based constraint. As a result, we can generate a natural deformed image for fattening and slimming simulation.

KW - Fattening and slimming simulation

KW - MRI image

KW - Principal component analysis

KW - Skull landmarks

UR - http://www.scopus.com/inward/record.url?scp=85064410341&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064410341&partnerID=8YFLogxK

U2 - 10.11371/iieej.46.197

DO - 10.11371/iieej.46.197

M3 - Article

VL - 46

SP - 197

EP - 205

JO - Journal of the Institute of Image Electronics Engineers of Japan

JF - Journal of the Institute of Image Electronics Engineers of Japan

SN - 0285-9831

IS - 1

ER -