Loading...
Please wait, while we are loading the content...
Experimental Procedure for the Metrological Characterization of Time-of-Flight Cameras for Human Body 3D Measurements.
| Content Provider | Europe PMC |
|---|---|
| Author | Pasinetti, Simone Nuzzi, Cristina Luchetti, Alessandro Zanetti, Matteo Lancini, Matteo De Cecco, Mariolino |
| Editor | Kurillo, Gregorij |
| Copyright Year | 2023 |
| Abstract | Time-of-flight cameras are widely adopted in a variety of indoor applications ranging from industrial object measurement to human activity recognition. However, the available products may differ in terms of the quality of the acquired point cloud, and the datasheet provided by the constructors may not be enough to guide researchers in the choice of the perfect device for their application. Hence, this work details the experimental procedure to assess time-of-flight cameras' error sources that should be considered when designing an application involving time-of-flight technology, such as the bias correction and the temperature influence on the point cloud stability. This is the first step towards a standardization of the metrological characterization procedure that could ensure the robustness and comparability of the results among tests and different devices. The procedure was conducted on Kinect Azure, Basler Blaze 101, and Basler ToF 640 cameras. Moreover, we compared the devices in the task of 3D reconstruction following a procedure involving the measure of both an object and a human upper-body-shaped mannequin. The experiment highlighted that, despite the results of the previously conducted metrological characterization, some devices showed evident difficulties in reconstructing the target objects. Thus, we proved that performing a rigorous evaluation procedure similar to the one proposed in this paper is always necessary when choosing the right device. |
| Journal | Sensors (Basel, Switzerland) |
| Volume Number | 23 |
| DOI | 10.3390/s23010538 |
| PubMed Central reference number | PMC9824796 |
| Issue Number | 1 |
| PubMed reference number | 36617138 |
| e-ISSN | 14248220 |
| Language | English |
| Publisher | Molecular Diversity Preservation International (MDPI) |
| Publisher Date | 2023-01-03 |
| Access Restriction | Open |
| Subject Keyword | machine vision human-body reconstruction time-of-flight metrological characterization Azure Kinect Basler Blaze 101 |
| Content Type | Text |
| Resource Type | Article |
| Subject | Biochemistry Instrumentation Information Systems Medicine Analytical Chemistry Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering |
