Paper
8 December 2015 On evaluation of depth accuracy in consumer depth sensors
Azim Zaliha Abd Aziz, Hong Wei, James Ferryman
Author Affiliations +
Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750A (2015) https://doi.org/10.1117/12.2229519
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain
Abstract
This paper presents an experimental study of different depth sensors. The aim is to answer the question, whether these sensors give accurate data for general depth image analysis. The study examines the depth accuracy between three popularly used depth sensors; ASUS Xtion Prolive, Kinect Xbox 360 and Kinect for Windows v2. The main attention is to study on the stability of pixels in the depth image captured at several different sensor-object distances by measuring the depth returned by the sensors within specified time intervals. The experimental results show that the fluctuation (mm) of the random selected pixels within the target area, increases with increasing distance to the sensor, especially on the Kinect for Xbox 360 and the Asus Xtion Prolive. Both of these sensors provide pixels fluctuation between 20mm and 30mm at a sensor-object distance beyond 1500mm. However, the pixel’s stability of the Kinect for Windows v2 not affected much with the distance between the sensor and the object. The maximum fluctuation for all the selected pixels of Kinect for Windows v2 is approximately 5mm at sensor-object distance of between 800mm and 3000mm. Therefore, in the optimal distance, the best stability achieved.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Azim Zaliha Abd Aziz, Hong Wei, and James Ferryman "On evaluation of depth accuracy in consumer depth sensors", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750A (8 December 2015); https://doi.org/10.1117/12.2229519
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Distance measurement

Image analysis

Facial recognition systems

Biometrics

3D metrology

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