Automatic visibility estimation of a LiDAR point cloud

Abstract : This paper presents a novel methodology to estimate if a point of a LiDAR point cloud is visible from a given point of viewcorresponding to the optical center of a camera. Visibility estimation is essential in order to improve LiDAR and optical data fusion. The LiDAR point cloud is first projected on the image plane of the camera. Then, a criteron on the neighborhood of each point is used to automatically estimate which points are visible from the given point of view.
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https://hal.archives-ouvertes.fr/hal-01812061
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Submitted on : Monday, June 11, 2018 - 11:01:57 AM
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  • HAL Id : hal-01812061, version 1

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Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau. Automatic visibility estimation of a LiDAR point cloud. 2018. 〈hal-01812061v1〉

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