Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 171 for “"point clouds"”.
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Automatic Alignment of 3D Multi-Sensor Point Clouds
Automatic 3D point cloud alignment is a major research topic in photogrammetry, computer vision and computer graphics. In this research, two keypoint feature matching approaches have been developed and proposed for the automatic alignment of 3D point clouds, which have been acquired from different …
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3D Reconstruction of Building Interiors Using Point Clouds
… development of sensors to acquire high-quality point clouds, a new modeling scheme called scan-to-BIM (building information modeling) emerged. However, the traditional scan-to-BIM process is time tedious and labor intensive. Most existing automatic indoor building reconstruction solutions can …
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Neural Representation for 3D Building Reconstruction from Point Clouds
… has underscored the importance of airborne LiDAR point clouds (APCs) for efficient/cost effective urban planning, management, and development. However, the delineation and modeling of 3D objects -- specifically buildings -- from APCs pose significant challenges due to issues such as façade/roof …
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Localization and tracking of parameterized objects in point clouds
… recognition and tracking from three dimensional point cloud renderings of dense range and bearing data. Sensors like laser range-finders and depth cameras have become increasingly popular in autonomous robotic applications. A common task is to locate and track specific objects of interest located …
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Algorithms for precision forest inventories based on terrestrial point clouds
Esta tesis doctoral se centra en proporcionar nuevas herramientas para los inventarios forestales de precisión a través del desarrollo de algoritmos aplicables a nubes de puntos terrestres, que facilitan la obtención de una representación geométrica precisa de los árboles en un tiempo razonable. …
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Haptic Interaction with 3D oriented point clouds on the GPU
Real-time point-based rendering and interaction with virtual objects is gaining popularity and importance as di�erent haptic devices and technologies increasingly provide the basis for realistic interaction. Haptic Interaction is being used for a wide range of applications such as medical training, …
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Efficient Systems and Algorithms for Deep Learning on Point Clouds
Deep learning on point clouds has received increased attention thanks to its wide applications in AR/VR and autonomous driving. These applications require low latency and high accuracy to provide real-time user experience and ensure user safety. Unlike conventional dense workloads, the sparse and …
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Self-Supervised Learning Method for Semantic Segmentation of LiDAR Point Clouds
… advancements in semantic segmentation for LiDAR point clouds, largely the adopting of deep learning techniques. There are the related works of 3D semantic segmentation, including neural network models to process converted voxels, points, and graphs. However, point-based methods are not taken into …
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Using the deformable simplicial complex to reconstruct surfaces from point clouds
… allows it to reconstruct surfaces given only a point cloud extracted from a Wavefront .obj file. By creating a velocity function that moves the vertices of an existing tetrahedral mesh towards their respective closest points in the cloud, we create a final surface that bears the likeness of the …
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Robust object pose estimation with point clouds from vision and touch
… information, and hence consider it to be a point cloud source analogous to an RGB-D camera. We incorporate the tactile geometric information directly into a conventional point-cloud-based articulated object tracker based on signed-distance functions. This tracker runs at 12 Hz using an …
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Extraction of Structural Component Geometries in Point Clouds of Metal Buildings
… research has focused on segmentation of the point cloud data in order to extract relevant geometries. These approaches cannot easily be extended to steel structures, so we propose a novel method of processing this data with the goal of creating a full finite element model from the information …
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Towards Estimating Friction Factors of Mine Drifts from Low Density Point Clouds
… By using a mobile LiDAR platform low density point clouds are collected then analysed to estimate the friction factor and are compared to those calculated from ventilation data gathered at Barrick Gold Corporation - Hemlo. The two original methods described, in addition to four previously …
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Reconstruction of industrial piping installations from laser point clouds using profiling techniques
… product of the scanning process is a cloud of points representing scanned surfaces. From this point cloud, 3D models of the surfaces are reconstructed. Most surfaces are of piping elements e.g. straight pipes, t-junctions, elbows, spheres. The automatic detection of these piping elements in …
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Synergetic segmentation and registration of TLS point clouds using geometric and radiometric information
… enormous amount of data in the form of so-called point clouds – in engineering geodesy and related fields such as architecture and civil engineering, segmentation as well as registration have been among the most important processing steps with regard to an automated evaluation and further …
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Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
We study 3D point cloud attribute compression using a volumetric approach: given a target volumetric attribute function $f : \mathbb{R}^3 \rightarrow \mathbb{R}$, we quantize and encode parameter vector $\theta$ that characterizes $f$ at the encoder, for reconstruction $f_{\hat{\theta}}(\x)$ at …
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StructureTransfer: A Scene Parsing Framework via Graph Matching for Images and Point Clouds
… framework which can work on both images and point clouds. To this end, we develop two separate pipelines for images and point clouds. For point clouds, a coarse segmentation is implemented to obtain an initial distribution for the objects. For images, superpixel segmentation is implemented …
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Parametric curve and Partial Differential Equation-based parametric surface reconstruction from point clouds
… often exists in a discrete form, typically as point sets, rather than in a parametric form. Therefore, it is crucial to reconstruct a parametric representation that closely approximates real-world data. In the context of parametric curve reconstruction from point sets, two key objectives are to …
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