24 May 2018 How to measure image quality of virtual reality cameras in practice
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Abstract
A virtual reality camera is a complex entity which has more dedicated components as well as image quality layers and image processing algorithms than a normal still or video camera. Components like fish eye optics, multiple camera synchronization and stitching algorithms create new practical challenges for image quality measurements.

The work gives an overview of those measurement challenges which are faced daily in an image quality laboratory when virtual reality cameras are being validated. Some of the measurement issues are very concrete like size of the test charts or how to measure uniformity of a camera of which the field of view is more than 180 degrees. On the other hand, new algorithms and a great number of individual imaging sensors in a single camera device require new measurement methods and a powerful test environment to handle the huge number of images generated.

The paper concentrates on measurement practices for three main features of virtual reality cameras. Firstly, image quality measurement issues of fish eye cameras. Secondly, challenges and requirements of a multi camera system. And thirdly, challenges in measuring stitching algorithms together with 3D rendering. Each of these areas differs from traditional image quality measurements and require some special test charts, measurement processes, equipment, or test environments.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Veli-Tapani Peltoketo, Veli-Tapani Peltoketo, } "How to measure image quality of virtual reality cameras in practice", Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 1067913 (24 May 2018); doi: 10.1117/12.2306638; https://doi.org/10.1117/12.2306638
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