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A RGB-D based instant body-scanning solution for compact box installation
- Source :
- Lecture Notes in Mechanical Engineering ISBN: 9783319457802
- Publication Year :
- 2016
- Publisher :
- Springer International Publishing, 2016.
-
Abstract
- Body scanning presents unique value in delivering the first digital asset of a human body thus resulting a fundamental device for a range of applications dealing with health, fashion and fitness. Despite several body scanners are in the market, recently depth cameras such as Microsoft Kinect® have attracted the 3D community; compared with conventional 3D scanning systems, these sensors are able to capture depth and RGB data at video rate and even if quality and depth resolution are not optimal for this kind of applications, the major benefit comes from the overall acquisition speed and from the IR pattern that allows poor lighting conditions optimal acquisition. When dealing with non-rigid bodies, unfortunately, the use of a single depth camera may lead to inconsistent results mainly caused by wrong surfaces registration. With the aim of improving existing systems based on low-resolution depth cameras, the present paper describes a novel scanning system for capturing 3D full human body models by using multiple Kinect® devices in a compact setup. The system consists of an instantaneous scanning system using eight depth cameras, appropriately arranged in a compact wireframe. To validate the effectiveness of the proposed architecture, a comparison of the obtained 3D body model with the one obtained using a professional Konica Minolta Range Seven 3D scanner is also presented and possible drawbacks are hinted at.
- Subjects :
- Engineering
Scanner
Model Fitting
business.industry
Video rate
Model fitting
020207 software engineering
3d scanning
Depth Camera
02 engineering and technology
Body scanning 3D modelling Custom Avatar
Computer graphics (images)
Digital asset
0202 electrical engineering, electronic engineering, information engineering
Range (statistics)
RGB color model
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Instant
Subjects
Details
- ISBN :
- 978-3-319-45780-2
- ISBNs :
- 9783319457802
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Mechanical Engineering ISBN: 9783319457802
- Accession number :
- edsair.doi.dedup.....b94608b205bafef3df951142120b850b
- Full Text :
- https://doi.org/10.1007/978-3-319-45781-9_82