2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2016
DOI: 10.1109/urai.2016.7734066
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Design and calibration of an omni-RGB+D camera

Abstract: International audienceIn this paper, we present the design of a new camera combining both predator-like and prey-like vision features. This setup provides both a spherical RGB-view and a directional depth-view of the environment. The model and calibration of the full setup are described. A few examples will be given to demonstrate the interest and the versatility of such camera for robotics and video surveillance at the oral presentation

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Cited by 4 publications
(5 citation statements)
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“…An omnivision camera rig has been developed (see Figure 1) using two fisheye cameras with field of view of approximately 185°each, which are fixed opposite to each other facing laterally, so as to cover 360°in horizontal and vertical (Jamaluddin et al, 2016). A depth camera, namely "ZED Camera, " is also mounted in front of the rig that covers the anterior view providing high-resolution RGB + depth image (StereoLabs, 2016).…”
Section: Proposed Systemmentioning
confidence: 99%
“…An omnivision camera rig has been developed (see Figure 1) using two fisheye cameras with field of view of approximately 185°each, which are fixed opposite to each other facing laterally, so as to cover 360°in horizontal and vertical (Jamaluddin et al, 2016). A depth camera, namely "ZED Camera, " is also mounted in front of the rig that covers the anterior view providing high-resolution RGB + depth image (StereoLabs, 2016).…”
Section: Proposed Systemmentioning
confidence: 99%
“…and labour required and can be easily adapted for laboratory studies (Moussouni et al, 2014;Nampula et al, 2016). Meanwhile according to Iserloh et.…”
mentioning
confidence: 99%
“…The spray nozzle mechanism is when the water exits at an initial velocity different from zero because it is subjected to a determined initial pressure (Nampula et al, 2016). This simulator can provide rainfall of different intensity so that it is possible to simulate the characteristics of natural rainfall according to the study area (Navas et al, 1990;Cerdà et al, 1997;Abudi et al, 2012;Nampula et al, 2016).…”
mentioning
confidence: 99%
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