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Internet of Things (IoT) in Smart Systems and Applications
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General Information
ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
12%
APC:
1000 USD
Average Days to Accept:
87 days
Journal Metrics:
Impact Factor 2023: 0.9
4.2
2023
CiteScore
57th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2025-02-10
All the 141 papers published in JAIT in 2024 have been indexed by Scopus.
2025-01-23
JAIT Vol. 16, No. 1 has been published online!
2024-06-07
JAIT received the CiteScore 2023 with 4.2, ranked #169/394 in Category Computer Science: Information Systems, #174/395 in Category Computer Science: Computer Networks and Communications, #226/350 in Category Computer Science: Computer Science Applications
Home
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Published Issues
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2022
>
Volume 13, No. 4, August 2022
>
JAIT 2022 Vol.13(4): 332-337
doi: 10.12720/jait.13.4.332-337
Automatic Selection of Key Points for 3D-Face Deformation
Huynh Cao Tuan
1
, Do Nang Toan
2
, and Lam Thanh Hien
1
1. Lac Hong University, Dong Nai, Vietnam
2. Institute of Information Technology, VAST, Vietnam
Abstract
—Human face has been an interesting research topic in several fields in terms of both theoretical research and deployment applications. Such real-world problems have contributed to promoting virtual reality studies, computer graphics in general, and 3D face modeling studies in particular. Several studies have shown that different control points are selected based on different applications which need different 3D face models. This study proposes an innovative approach to automatically identify the set based on facial deformations by clustering similar deformations. Its good performance is successfully validated through practical experiments with JAFFE database.
Index Terms
—control point set, face deformation, 3D face model
Cite: Huynh Cao Tuan, Do Nang Toan, and Lam Thanh Hien, "Automatic Selection of Key Points for 3D-Face Deformation," Journal of Advances in Information Technology, Vol. 13, No. 4, pp. 332-337, August 2022.
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
5-JAIT-2288-Final-Vietnam
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