A multi-resolution approach for an automated fusion of different low-cost 3D sensors.
Sensors (Basel)
; 14(4): 7563-79, 2014 Apr 24.
Article
em En
| MEDLINE
| ID: mdl-24763255
ABSTRACT
The 3D acquisition of object structures has become a common technique in many fields of work, e.g., industrial quality management, cultural heritage or crime scene documentation. The requirements on the measuring devices are versatile, because spacious scenes have to be imaged with a high level of detail for selected objects. Thus, the used measuring systems are expensive and require an experienced operator. With the rise of low-cost 3D imaging systems, their integration into the digital documentation process is possible. However, common low-cost sensors have the limitation of a trade-off between range and accuracy, providing either a low resolution of single objects or a limited imaging field. Therefore, the use of multiple sensors is desirable. We show the combined use of two low-cost sensors, the Microsoft Kinect and the David laserscanning system, to achieve low-resolved scans of the whole scene and a high level of detail for selected objects, respectively. Afterwards, the high-resolved David objects are automatically assigned to their corresponding Kinect object by the use of surface feature histograms and SVM-classification. The corresponding objects are fitted using an ICP-implementation to produce a multi-resolution map. The applicability is shown for a fictional crime scene and the reconstruction of a ballistic trajectory.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Automação
/
Custos e Análise de Custo
/
Imageamento Tridimensional
Tipo de estudo:
Health_economic_evaluation
Idioma:
En
Revista:
Sensors (Basel)
Ano de publicação:
2014
Tipo de documento:
Article
País de afiliação:
Alemanha