The depth perception in the objects of a scene can be useful for tracking or applying visual servoing in mobile systems. 3D time-of-flight (ToF) cameras provide range images which give measurements in real time to improve these types of tasks. However, the distance computed from these range images is very changing with the integration time parameter. This paper presents an analysis for the online adaptation of integration time of ToF cameras. This online adaptation is necessary in order to capture the images in the best condition irrespective of the changes of distance (between camera and objects) caused by its movement when the camera is mounted on a robotic arm.
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