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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. |
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Cameras
Image quality
Panoramic photography
Virtual reality
3D metrology
Distortion
Eye
