Non-rigid 3D Face Shape Reconstruction using a Genetic Algorithm

被引：0

作者：

Park, Jong-Min ^{[1
]}

Choi, Hyun-Chul ^{[1
]}

Oh, Se-Young ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol POSTECH, Pohang 790784, Gyeongbuk, South Korea

来源：

2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2010年

关键词：

MODELS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-rank constraints. Then the method finds the optimal coefficients for linear combinations of 3D shape bases to represent non-rigid 3D shapes using a genetic algorithm, and refines the 3D shape bases and the projection matrices using gradient descent techniques. The method reconstructed correct non-rigid 3D shapes in the presence of noise. The results can be used in many areas including animation, motion capture and non-rigid 3D object tracking.

引用

页数：6

共 50 条

[41] Functional Maps and Its Application in Non-Rigid 3D Shape Correspondence
Wang, Ning
Zhang, Dan
Xu, Chenhao
Song, Meihua
Zhang, Jianpeng
Peng, Quanhong
[J]. Computer Engineering and Applications, 2024, 60 (24) : 20 - 43
[42] A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching
Bernard, Florian
Schmidt, Frank R.
Thunberg, Johan
Cremers, Daniel
[J]. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 1436 - 1445
[43] A non-rigid 3D shape segmentation approach based on diffusion geometry
Su, Meng
Wan, Lili
Miao, Zhenjiang
[J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2015, 27 (04): : 605 - 613
[44] Underwater Non-Rigid 3D Shape Reconstruction via Structure from Motion for Fish Ethology Research
Che, Renzheng
Xu, Xiao
Nian, Rui
He, Bo
Chen, Meimei
Zhang, Cheng
Lendasse, Amaury
[J]. OCEANS 2016 MTS/IEEE MONTEREY, 2016,
[45] Vision-based 3D shape reconstructure of a non-rigid object
Zhu Fangwen
Gong Zhenbang
Cui Ze
[J]. IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, : 1769 - +
[46] Improving the performance of non-rigid 3D shape recovery by points classification
Hu, Junjie
Aoki, Terumasa
[J]. PROCEEDINGS OF THE FIFTEENTH IAPR INTERNATIONAL CONFERENCE ON MACHINE VISION APPLICATIONS - MVA2017, 2017, : 266 - 269
[47] Non-rigid 3D Shape Classification based on Convolutional Neural Networks
Llerena Quenaya, Jan Franco
Lopez Del Alamo, Cristian Jose
[J]. 2017 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI), 2017,
[48] Skeleton Embedded Views for Non-Rigid 3D Shape Classification and Retrieval
Zhou, Yan
Lin, Liangxi
Luo, Yue
Liu, Xiangyu
Zeng, Fanzhi
Zhou, Yuexia
[J]. 2022 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, COMPUTER VISION AND MACHINE LEARNING (ICICML), 2022, : 285 - 292
[49] Study on the Optimization Method of Dynamic Reconstruction of 3D Non-Rigid Image
Wang, Chong
Li, Ming
[J]. RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2016, 9 (03) : 162 - 166
[50] A Survey of Non-Rigid 3D Registration
Deng, Bailin
Yao, Yuxin
Dyke, Roberto M.
Zhang, Juyong
[J]. COMPUTER GRAPHICS FORUM, 2022, 41 (02) : 559 - 589

← 1 2 3 4 5 →