A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis

Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the applications of geometrics, e.g., geometric features, are widely used in computer graphics and computer vision problems. This review presents a litera...

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Published inSensors (Basel, Switzerland) Vol. 19; no. 12; p. 2809
Main Authors Gong, Wenjuan, Zhang, Bin, Wang, Chaoqi, Yue, Hanbing, Li, Chuantao, Xing, Linjie, Qiao, Yu, Zhang, Weishan, Gong, Faming
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 23.06.2019
MDPI
Subjects
Artificial Intelligence
Computer Graphics
Computer vision
Deep Learning
geometric methods
human action recognition
human body shape analysis
human pose estimation
Humans
Literature reviews
Nonlinear equations
Review
Topological manifolds
human action recognition
human pose estimation
geometric methods
human body shape analysis
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Abstract Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the applications of geometrics, e.g., geometric features, are widely used in computer graphics and computer vision problems. This review presents a literature review on geometric concepts, geometric methods, and their applications in human-related analysis, e.g., human shape analysis, human pose analysis, and human action analysis. This review proposes to categorize geometric methods based on the scope of the geometric properties that are extracted: object-oriented geometric methods, feature-oriented geometric methods, and routine-based geometric methods. Considering the broad applications of deep learning methods, this review also studies geometric deep learning, which has recently become a popular topic of research. Validation datasets are collected, and method performances are collected and compared. Finally, research trends and possible research topics are discussed.
AbstractList Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the applications of geometrics, e.g., geometric features, are widely used in computer graphics and computer vision problems. This review presents a literature review on geometric concepts, geometric methods, and their applications in human-related analysis, e.g., human shape analysis, human pose analysis, and human action analysis. This review proposes to categorize geometric methods based on the scope of the geometric properties that are extracted: object-oriented geometric methods, feature-oriented geometric methods, and routine-based geometric methods. Considering the broad applications of deep learning methods, this review also studies geometric deep learning, which has recently become a popular topic of research. Validation datasets are collected, and method performances are collected and compared. Finally, research trends and possible research topics are discussed.
Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the applications of geometrics, e.g., geometric features, are widely used in computer graphics and computer vision problems. This review presents a literature review on geometric concepts, geometric methods, and their applications in human-related analysis, e.g., human shape analysis, human pose analysis, and human action analysis. This review proposes to categorize geometric methods based on the scope of the geometric properties that are extracted: object-oriented geometric methods, feature-oriented geometric methods, and routine-based geometric methods. Considering the broad applications of deep learning methods, this review also studies geometric deep learning, which has recently become a popular topic of research. Validation datasets are collected, and method performances are collected and compared. Finally, research trends and possible research topics are discussed.Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the applications of geometrics, e.g., geometric features, are widely used in computer graphics and computer vision problems. This review presents a literature review on geometric concepts, geometric methods, and their applications in human-related analysis, e.g., human shape analysis, human pose analysis, and human action analysis. This review proposes to categorize geometric methods based on the scope of the geometric properties that are extracted: object-oriented geometric methods, feature-oriented geometric methods, and routine-based geometric methods. Considering the broad applications of deep learning methods, this review also studies geometric deep learning, which has recently become a popular topic of research. Validation datasets are collected, and method performances are collected and compared. Finally, research trends and possible research topics are discussed.
Author Qiao, Yu
Yue, Hanbing
Li, Chuantao
Wang, Chaoqi
Zhang, Bin
Gong, Faming
Gong, Wenjuan
Xing, Linjie
Zhang, Weishan
AuthorAffiliation 1 The College of Computer Science and Communication Engineering, China University of Petroleum (East China), Qingdao 257061, China; wenjuangong@upc.edu.cn (W.G.); wcq86451612@163.com (C.W.); iceyueHB@163.com (H.Y.); china_lichuantao@163.com (C.L.); zhangws@upc.edu.cn (W.Z.); gfaming@163.com (F.G.)
3 Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; csljxing@gmail.com
2 The Beijing University of Posts and Telecommunications, Beijing 100876, China; fealie28@163.com
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/31234601$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1109_TCSS_2020_2995497
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Issue 12
Keywords human action recognition
human pose estimation
geometric methods
human body shape analysis
Language English
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Snippet Geometric features, such as the topological and manifold properties, are utilized to extract geometric properties. Geometric methods that exploit the...
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SubjectTerms Artificial Intelligence
Computer Graphics
Computer vision
Deep Learning
geometric methods
human action recognition
human body shape analysis
human pose estimation
Humans
Literature reviews
Nonlinear equations
Review
Topological manifolds
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Title A Literature Review: Geometric Methods and Their Applications in Human-Related Analysis
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