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PattyAnalytics

Authors: Attema, Jisk; Borgdorff, Joris; Buitinck, Lars; Martinez-Ortiz, Carlos; Meijer, Christiaan; Spaaks, Jurriaan H.; Maassen, Jason; +1 Authors
Abstract

Patty Analytics aims to register pointclouds that were generated from photos or video to an absolute position, scale and orientation.Pointclouds generated from photos are generally messy; they have holes and floating unidentified objects. In our scripts we assume to have the following information: a map (drivemap) which has an extremely low resolution but has good absolute coordinates; a footprint polygon denoting more or less the latitude and longitude and area of the object (x and y coordinates). Finally, we have the high-resolution pointcloud of the object. By the nature of creating this pointcloud, it is densest at the object, since the photos usually center on this object. In some cases, there are also camera positions available, relative to the object.Reusable point cloud analytics software. Includes segmentation, registration, file format conversion. This makes uses of the python bindings of the Point Cloud Library (PCL).

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Keywords

registration, point clouds, segmentation, photogrammetry

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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