Low-cost commodity depth sensor comparison and accuracy analysis | Zendy

Timo Breuer | Zendy; Christoph Bodensteiner | Zendy; Michael Arens | Zendy

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Low-cost commodity depth sensor comparison and accuracy analysis

Author(s) -

Timo Breuer,

Christoph Bodensteiner,

Michael Arens

Publication year - 2014

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2067155

Subject(s) - computer science , exploit , artificial intelligence , computer vision , noise (video) , robotics , image sensor , drone , field (mathematics) , low resolution , robot , image (mathematics) , high resolution , remote sensing , computer security , mathematics , biology , pure mathematics , genetics , geology

Low cost depth sensors have been a huge success in the field of computer vision and robotics, providing depth images even in untextured environments. The same characteristic applies to the Kinect V2, a time-of-flight camera with high lateral resolution. In order to assess advantages of the new sensor over its predecessor for standard applications, we provide an analysis of measurement noise, accuracy and other error sources with the Kinect V2. We examined the raw sensor data by using an open source driver. Further insights on the sensor design and examples of processing techniques are given to completely exploit the unrestricted access to the device

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