Deep Learning-Based Automated Extraction of Anthropometric Measurements From a Single 3-D Scan

The appearance of 3-D scanners, generating point clouds, has revolutionized anthropometric data collection systems and their applications. Anthropometric data are of paramount importance in several applications, including fashion design, medical diagnosis, and virtual character modeling, all of whic...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 70; s. 1 - 14
Hlavní autori:	Kaashki, Nastaran Nourbakhsh, Hu, Pengpeng, Munteanu, Adrian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Anthropometric measurement Anthropometry Coders Data collection Deep learning Deformation encoder–decoder architectures Feature extraction Machine learning Missing data Modules Neural networks Noise measurement Noise sensitivity point cloud Scanners template fitting Three dimensional models Three-dimensional displays
ISSN:	0018-9456, 1557-9662
On-line prístup:	Získať plný text
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