3D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA

Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high level tasks such as object tracking, object recognition and scene understanding. However, low cost laser scanners are noisy, sparse and prone to systematic errors. This paper proposes a novel 3D super r...

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Bibliographic Details
Main Authors: S. Hosseinyalamdary, A. Yilmaz
Format: Article
Language:English
Published: Copernicus Publications 2015-08-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/151/2015/isprsannals-II-3-W5-151-2015.pdf