Paper 13.417

C. Kopf et al., "A Portable, Low-Cost 3D Body Scanning System", in Proc. of 4th Int. Conf. on 3D Body Scanning Technologies, Long Beach CA, USA, 2013, pp. 417-425, http://dx.doi.org/10.15221/13.417.

Title:

A Portable, Low-Cost 3D Body Scanning System

Authors:

Christoph KOPF, Christoph HEINDL, Martijn ROOKER, Harald BAUER, Andreas PICHLER

PROFACTOR GmbH, Steyr (Upper Austria), Austria

Abstract:

Current 3D body scanning setups often requires extensive amount of hardware which needs to be accurately calibrated. Calibrating such systems can be a time consuming and error-prone task. Nevertheless, a well calibrated system generates accurate and fast 3D body scanning results. As a drawback, these setups are often statically built and therefore it is difficult to use them at different locations. New sensor technologies which have been established during the last years offer new possibilities for 3D body scanning tasks. This paper presents a portable, intuitively usable, scale-able and real-time capable 3D body scanner, which is affordable for everyone. Portable, since the system only requires a PC, one or more 3D depth sensors (e.g. PrimeSense Carmine 1.09). Usable, since the system sensor is hand guided by a user. Scale-able, since any 3D depth sensor with different ranges can be integrated with the system and the scan area can be adapted to the sensor. Real-time, because every new frame from the camera changes the global model in real-time and gives the user feedback of the current status of the global model. To scan a person, the user takes the camera in his hand, starts capturing depth data from all required views by walking around the person to be scanned. As a result a polygon model can be exported and post processed. Due to the flexibility of the system, multiple sensors can be used at the same time. This enables the data of all sensors to be unified in the global model without the need of a complex calibration routine from the auto calibration algorithms of the system.

Keywords:

3D, Surface Reconstruction, Depth Sensor, Tracking

Details:

Full paper: 13.417.pdf
Proceedings: 3DBST 2013, 19-20 Nov. 2013, Long Beach California, USA
Pages: 417-425
DOI: http://dx.doi.org/10.15221/13.417

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