Poisson Surface Reconstruction from LIDAR for Buttress Root Volume Estimation

Ma, Jianfei; Song, Ruoyang; Han, Tao; Sánchez‐Azofeifa, Arturo; Basu, Anup

doi:10.1007/978-3-030-54407-2_39

Lecture Notes in Computer Science

2020

DOI: 10.1007/978-3-030-54407-2_39

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Poisson Surface Reconstruction from LIDAR for Buttress Root Volume Estimation

Jianfei Ma

Ruoyang Song

Tao Han

et al.

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“…This Technology has been used to generate mesh of objects in a different scale, for example toys, the indoor scene, as well as outdoor environment. The reconstructed meshes can be utilized in many applications such as 3D printing, object volume estimation [1], VR/AR scene modeling, indoor decoration, autonomous driving, remote sensing and mapping.…”

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confidence: 99%

3D Point Cloud Reconstruction and SLAM as an Input

Li¹,

Ye²,

Guan³

2021

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To handle the different types of surface reconstruction tasks, we have replicated as well as modified a few of reconstruction methods and have made comparisons between the traditional method and data-driven method for reconstruction the surface of an object with dense point cloud as input. On top of that, we proposed a system using tightly-coupled SLAM as an input to generate deskewed point cloud and odometry and a Truncated Signed Distance Function based Surface Reconstruction Library. To get higher accuracy, IMU(Inertial Measurement Unit) pre-integration and pose graph optimization are conduct in the SLAM part. With the help of the Robot Operating System, we could build a system containing those two parts, which can conduct a real-time outdoor surface reconstruction.

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mentioning

confidence: 99%

3D Point Cloud Reconstruction and SLAM as an Input

Li¹,

Ye²,

Guan³

2021

Preprint

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Poisson Surface Reconstruction from LIDAR for Buttress Root Volume Estimation

Cited by 1 publication

References 9 publications

3D Point Cloud Reconstruction and SLAM as an Input

3D Point Cloud Reconstruction and SLAM as an Input

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