scholarly journals Fast Surface Reconstruction and Segmentation with Terrestrial LiDAR Range Data

2009 ◽  
Author(s):  
Matthew A. Carlberg
Keyword(s):  
Surface Reconstruction ◽  
Range Data ◽  
Terrestrial Lidar

Accurate surface reconstruction of large 3D objects from range data

2003 ◽  
Author(s):  
Xiaokun Li ◽  
Lei He ◽  
Bryan Everding ◽  
Chia Y. Han ◽  
William G. Wee
Keyword(s):  
Surface Reconstruction ◽  
Range Data ◽  
3D Objects

scholarly journals Comparison of Different Remote Sensing Methods for 3D Modeling of Small Rock Outcrops

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1663 ◽  
Author(s):  
Tomáš Mikita ◽  
Marie Balková ◽  
Aleš Bajer ◽  
Miloš Cibulka ◽  
Zdeněk Patočka
Keyword(s):  
Surface Reconstruction ◽  
3D Model ◽  
High Fidelity ◽  
Smartphone Applications ◽  
Rock Outcrops ◽  
Terrestrial Lidar ◽  
Surface Reconstructions ◽  
Recent Developments ◽  
Acquisition Device ◽  
Remote Sensing Methods

This paper reviews the use of modern 3D image-based and Light Detection and Ranging (LiDAR) methods of surface reconstruction techniques for high fidelity surveys of small rock outcrops to highlight their potential within structural geology and landscape protection. LiDAR and Structure from Motion (SfM) software provide useful opportunities for rock outcrops mapping and 3D model creation. The accuracy of these surface reconstructions is crucial for quantitative structural analysis. However, these technologies require either a costly data acquisition device (Terrestrial LiDAR) or specialized image processing software (SfM). Recent developments in augmented reality and smartphone technologies, such as increased processing capacity and higher resolution of cameras, may offer a simple and inexpensive alternative for 3D surface reconstruction. Therefore, the aim of the paper is to show the possibilities of using smartphone applications for model creation and to determine their accuracy for rock outcrop mapping.

scholarly journals 3D OCTREE BASED WATERTIGHT MESH GENERATION FROM UBIQUITOUS DATA

2015 ◽  
Vol XL-3/W3 ◽  
pp. 613-617 ◽  
Author(s):  
L. Caraffa ◽  
M. Brédif ◽  
B. Vallet
Keyword(s):  
Surface Reconstruction ◽  
Mesh Generation ◽  
Large Scale ◽  
Reconstruction Algorithm ◽  
Terrestrial Lidar ◽  
Optimization Framework ◽  
Binary Segmentation ◽  
Mass Functions ◽  
Interesting Solution ◽  
Scale Surface

Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic framework for a octree cell based mesh generation. Its input is a set of Lidar-based 3D measurements or other inputs which are formulated as a set of mass functions that characterize the level of confidence on the occupancy of each octree’s leaf. The output is a binary segmentation of the space between <i>occupied</i> and <i>empty</i> areas by taking into account the uncertainty of data. To this end, the problem is then reduced to a global energy optimization framework efficiently optimized with a min-cut approach. We use the approach for producing a large scale surface reconstruction algorithm by merging data from ubiquitous sources like airborne, terrestrial Lidar data, occupancy map and extra cues. Once the surface is computed, a solution is proposed for texturing the mesh.

scholarly journals Robust and Efficient Surface Reconstruction From Range Data

2009 ◽  
Vol 28 (8) ◽  
pp. 2275-2290 ◽  
Author(s):  
P. Labatut ◽  
J.-P. Pons ◽  
R. Keriven
Keyword(s):  
Surface Reconstruction ◽  
Range Data

scholarly journals Fast Surface Reconstruction and Segmentation with Ground-Based and Airborne LIDAR Range Data

2009 ◽  
Author(s):  
Matthew Carlberg ◽  
James Andrews ◽  
Peiran Gao ◽  
Avideh Zakhor
Keyword(s):  
Surface Reconstruction ◽  
Airborne Lidar ◽  
Range Data
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