A Review of Body Measurement Using 3D Scanning
| Autor: | Tomislav Pribanić, David Bojanic, Tomislav Petković, Kristijan Bartol |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
body shape
Engineering drawing General Computer Science Computer science Feature extraction Automatic processing 3d scanning 02 engineering and technology Solid modeling Iterative reconstruction 01 natural sciences 0202 electrical engineering electronic engineering information engineering General Materials Science Electrical and Electronic Engineering anthropometry business.industry Deep learning 010401 analytical chemistry General Engineering deep learning Body measurement 3. Good health 0104 chemical sciences TK1-9971 Key (cryptography) 3D surface scanning 020201 artificial intelligence & image processing Artificial intelligence Electrical engineering. Electronics. Nuclear engineering business Structured light |
| Zdroj: | IEEE Access, Vol 9, Pp 67281-67301 (2021) |
| ISSN: | 2169-3536 |
| Popis: | The understanding of body measurements and body shapes in and between populations is important and has many applications in medicine, surveying, the fashion industry, fitness, and entertainment. Body measurement using 3D surface scanning technologies is faster and more convenient than measurement with more traditional methods and at the same time provides much more data, which requires automatic processing. A multitude of 3D scanning methods and processing pipelines have been described in the literature, and the advent of deep learning-based processing methods has generated an increased interest in the topic. Also, over the last decade, larger public 3D human scanning datasets have been released. This paper gives a comprehensive survey of body measurement techniques, with an emphasis on 3D scanning technologies and automatic data processing pipelines. An introduction to the three most common 3D scanning technologies for body measurement, passive stereo, structured light, and time-of-flight, is provided, and their merits w.r.t. body measurement are discussed. Methods described in the literature are discussed within the newly proposed framework of five common processing stages: preparation, scanning, feature extraction, model fitting, and measurement extraction. Synthesizing the analyzed prior works, recommendations on specific 3D body scanning technologies and the accompanying processing pipelines for the most common applications are given. Finally, an overview of about 80 currently available 3D scanners manufactured by about 50 companies, as well as their taxonomy regarding several key characteristics, is provided in the Appendix. |
| Databáze: | OpenAIRE |
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