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Performance Evaluation of Time-of-Flight Depth Cameras

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Performance Evaluation of Time-of-Flight Depth Cameras

Time-of-Flight -syvyyskameroiden suorituskyvyn arviointi

In this thesis, accuracy of Time-of-Flight (ToF) depth cameras was studied. ToF camera is relatively new technology, which is a potential challenger for traditional 3D imaging methods. However, the accuracy of ToF measurements is limited by several factors, such as the properties of the target or the intensity of background illumination.

In the experimental part of this thesis, three ToF cameras are compared. The cameras are Mesa SR4000, Panasonic D-IMager EKL3106 and Microsoft Kinect v2. For the evaluation, five different test scenarios were carried out in indoor and outdoor environments. The goal of the measurements was to study how the temperature of the camera, background illumination and distance and reflectivity of the imaged objects affect the depth accuracy.

The results showed that although all tested cameras had difficulties in some conditions, ToF camera technology has developed rapidly. Current cameras perform more robustly in challenging conditions, which enables a whole new range of applications.

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