IEEE Sensors Journal· 2015Q1
Evaluating and Improving the Depth Accuracy of Kinect for Windows v2
- 291citations
- Q1SCImago
- 2015year
Short summary
A new cone model accurately describes Kinect v2 depth accuracy distribution, and a trilateration method using multiple Kinects improves accuracy.
AI-generated from the title and abstract; the full text is not read.
Key points
- A cone model was developed to illustrate the depth accuracy distribution of the Kinect v2 sensor.
- Depth entropy was used to evaluate the variance of captured depth values.
- A trilateration method using multiple Kinect sensors was proposed to improve depth accuracy.
- Experimental results confirmed the validity of the cone model and the trilateration method.
AI-generated from the title and abstract; the full text is not read.
Abstract
Microsoft Kinect sensor has been widely used in many applications since the launch of its first version. Recently, Microsoft released a new version of Kinect sensor with improved hardware. However, the accuracy assessment of the sensor remains to be answered. In this paper, we measure the depth accuracy of the newly released Kinect v2 depth sensor, and obtain a cone model to illustrate its accuracy distribution. We then evaluate the variance of the captured depth values by depth entropy. In addition, we propose a trilateration method to improve the depth accuracy with multiple Kinects simultaneously. The experimental results are provided to ascertain the proposed model and method.
The authors' abstract, as published at the source. IEEE Sensors Journal, 2015 · DOI ↗
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Field: Instrumentation
InstrumentationPhysics and Astronomy