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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Contributor : Pierre Biasutti <>
Submitted on : Monday, June 11, 2018 - 11:01:57 AM
Last modification on : Thursday, February 28, 2019 - 1:30:29 AM
Document(s) archivé(s) le : Wednesday, September 12, 2018 - 10:33:45 PM


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  • HAL Id : hal-01812061, version 1


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



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