3D Human Body Inpainting using Intrinsic Statistical Shape Models

被引：0

作者：

Korban, Matthew ^{[1
]}

Li, Xin ^{[1
]}

Miao, Kehua ^{[2
]}

Zhu, Yimin ^{[3
]}

机构：

[1] Louisiana State Univ, Div Comp Engn, Baton Rouge, LA 70803 USA

[2] Xiamen Univ, Dept Automat, Xiamen, Peoples R China

[3] Louisiana State Univ, Dept Construct Management, Baton Rouge, LA 70803 USA

来源：

14TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2019) | 2019年

关键词：

Statistical Shape Model; Human Body Inpainting; Laplacian Coordinates;

D O I：

10.1109/iccse.2019.8845520

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an algorithm for inpainting 3D human body geometry. We built a Statistical Shape Model (SSM) based on the intrinsic Laplacian Coordinates (LC) to tackle the pose variation of human bodies, which is a common challenging issue in 3D human body modeling and shape analysis. We evaluate our inpainting algorithm using synthesized damages on complete human body scans, and with the groundtruth we measure the normalized reconstruction error quantitatively. Our experiments demonstrate the effectiveness of this LC-based SSM in human body inpainting.

引用

页码：1105 / 1110

页数：6

共 50 条

[31] 3D shape measurement techniques for human body reconstruction
Xhimitiku, Iva
Pascoletti, Giulia
Zanetti, Elisabetta M.
Rossi, Gianluca
ACTA IMEKO, 2022, 11 (02): : 1 - 8
[32] 3D Shape Retrieval from a Photo Using Intrinsic Image
Tashiro, Shoki
Aono, Masaki
2015 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA), 2015, : 476 - 479
[33] Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes
Navarro-Jimenez, Jose M.
Aguado, Jose, V
Bazin, Gregoire
Albero, Vicente
Borzacchiello, Domenico
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (05) : 2345 - 2358
[34] Reconstruction of 3D surfaces from incomplete digitisations using statistical shape models for manufacturing processes
José M. Navarro-Jiménez
José V. Aguado
Grégoire Bazin
Vicente Albero
Domenico Borzacchiello
Journal of Intelligent Manufacturing, 2023, 34 : 2345 - 2358
[35] VALIDATION OF A 3D THIGH MUSCLE AND ADIPOSE TISSUE SEGMENTATION METHOD USING STATISTICAL SHAPE MODELS
Kemnitz, J.
Eckstein, F.
Culvenor, A. G.
Ruhdorfer, A.
Dannhauer, T.
Ring-Dimitriou, S.
Saenger, A. M.
Wirth, W.
OSTEOARTHRITIS AND CARTILAGE, 2018, 26 : S457 - S458
[36] Using image segmentation for evaluating 3D statistical shape models built with groupwise correspondence optimization
Gollmer, Sebastian T.
Kirschner, Matthias
Buzug, Thorsten M.
Wesarg, Stefan
COMPUTER VISION AND IMAGE UNDERSTANDING, 2014, 125 : 283 - 303
[37] Moving Statistical Body Shape Models Using Blender
Scataglini, Sofia
Danckaers, Femke
Haelterman, Robby
Huysmans, Toon
Sijbers, Jan
PROCEEDINGS OF THE 20TH CONGRESS OF THE INTERNATIONAL ERGONOMICS ASSOCIATION (IEA 2018), VOL V: HUMAN SIMULATION AND VIRTUAL ENVIRONMENTS, WORK WITH COMPUTING SYSTEMS (WWCS), PROCESS CONTROL, 2019, 822 : 28 - 38
[38] Lossy Compression of 3D Statistical Shape and Intensity Models of Femoral Bones Using JPEG 2000
Klima, Ondrej
Barina, David
Kleparnik, Petr
Zemcik, Pavel
Chromy, Adam
Spanel, Michal
IFAC PAPERSONLINE, 2016, 49 (25): : 115 - 120
[39] Patella sex determination by 3D statistical shape models and nonlinear classifiers
Mahfouz, Mohamed
Badawi, Ahmed
Merkl, Brandon
Fatah, Emam E. Abdel
Pritchard, Emily
Kesler, Katherine
Moore, Megan
Jantz, Richard
Jantz, Lee
FORENSIC SCIENCE INTERNATIONAL, 2007, 173 (2-3) : 161 - 170
[40] Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
Raju, Ashwin
Miao, Shun
Jin, Dakai
Lu, Le
Huang, Junzhou
Harrison, Adam P.
THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2022, : 2135 - 2143

← 1 2 3 4 5 →