Filling Holes in Point Clouds

Chalmovianský, Pavel; Jüttler, Bert

doi:10.1007/978-3-540-39422-8_14

Cited by 41 publications

(36 citation statements)

References 9 publications

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“…Chalmoviansky et. al 2003 fit algebraic surface into the holes (Chalmovianský and Jüttler, 2003). Another approach interpolating geometry and shading with a moving least square formulation is from Wang et al (Wang and Oliveira, 2007).…”

Section: Related Workmentioning

confidence: 99%

Automated Detection and Closing of Holes in Aerial Point Clouds Using an Uas

Fiolka

Rouatbi

Bender

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:3D terrain models are an important instrument in areas like geology, agriculture and reconnaissance. Using an automated UAS with a line-based LiDAR can create terrain models fast and easily even from large areas. But the resulting point cloud may contain holes and therefore be incomplete. This might happen due to occlusions, a missed flight route due to wind or simply as a result of changes in the ground height which would alter the swath of the LiDAR system. This paper proposes a method to detect holes in 3D point clouds generated during the flight and adjust the course in order to close them. First, a grid-based search for holes in the horizontal ground plane is performed. Then a check for vertical holes mainly created by buildings walls is done. Due to occlusions and steep LiDAR angles, closing the vertical gaps may be difficult or even impossible. Therefore, the current approach deals with holes in the ground plane and only marks the vertical holes in such a way that the operator can decide on further actions regarding them. The aim is to efficiently create point clouds which can be used for the generation of complete 3D terrain models.

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Section: Related Workmentioning

confidence: 99%

Automated Detection and Closing of Holes in Aerial Point Clouds Using an Uas

Fiolka

Rouatbi

Bender

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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show abstract

“…How to treat them is out of the scope of this work. For further information on acquisition or registration error treatment, the reader may refer to (CHALMOVIAN-SKY;JUTTLER, 2003;MITRA;NGUYEN, 2003;LIU, 2006;OLIVEIRA, 2007). …”

Section: Acquisition and Registration Errorsmentioning

confidence: 99%

Real-time detection of planar regions in unorganized point clouds

Limberger

Oliveira

2015

Pattern Recognition

118

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“…3a). This problem may occur in laser scan surveys due to problems with visibility and/or complexity (Chalmovianský & Jüttler, 2003). One way to reduce the number of these holes would have been to increase the number of stations of the laser scan during the survey.…”

Section: D-mesh Generation From Point Cloudmentioning

confidence: 99%