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 18 of 18 for “"Point Cloud Registration"”.
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Virtual-Real Object Registration and Shape Completion for Stable and Accurate Augmented Reality Technology
… has been widely used in many applications. 3D point cloud registration is one of the main processes to correctly align virtual 3D objects with real-world scenes in AR. The higher quality of the underlying 3D point clouds with fewer missing and noisy points, the more accurate the 3D point cloud …
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Autonomous Aerial Drone Landing Site Selection on a Maritime Vessel
… terrain, the system integrates robust mapping, point cloud registration, and site selection algorithms to enable reliable performance in dynamic maritime conditions. A simulation environment was developed, utilizing Microsoft AirSim and ShipMo3D. This simulation incorporated a quadrotor equipped …
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Generalised Discriminative Optimisation Algorithms for Augmented Reality: Theory and Practice.
… Reality (AR) technology achieves the seamless registration between virtual scenes and the real world. Three-dimensional registration is a core method for integrat- ing virtual information and the real world. Registration has always been treated as an optimisation process, involving the design …
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Mapping and Localization Using LiDAR Fiducial Markers
… collection of 3D assets and training data for point cloud registration, 3D map merging, Augmented Reality (AR), and many more. First, an Intensity Image-based LiDAR Fiducial Marker (IFM) system is introduced, using thin, letter-sized markers compatible with VFMs. A detection method locates 3D …
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State Estimation in Dynamical Robotic System with Non-Gaussian Noise
… state estimation problems: multi-model point cloud registration and state estimation in polynomial dynamical systems, both contaminated by non-Gaussian noise. In the multi-model 3D registration problem, we are given two point clouds picturing a set of objects at different poses (and …
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Nonparametric directional perception
… drift-free rotation estimation, global point cloud registration and real-time direction-aware 3D reconstruction to aid artificial perception systems.
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Graph-Theoretic Outlier Rejection: From Instance to Category-Level Perception
… such as single rotation averaging and 3D point cloud registration. ROBIN boosts robustness of existing solvers (making them robust to more than 95% outliers), while running in milliseconds in large problems. With ROBIN developed, we then consider a category-level perception problem, where …
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Cloud To Cloud Registration For 3d Point Data
… of objects by large collections of 3D points is being recognized on a global scale and has given rise to the popularity of point cloud data (PCD). 3D imaging sensors provide a means for quickly capturing dense and accurate geospatial information that represent the 3D geometry of objects …
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Real-time Topology-Aware Augmented Reality
… provide information on the relationship between point clouds to improve the quality of point cloud-based real-world 3D map reconstruc- tions for topology-aware AR systems. The reconstructed 3D maps provide information to improve the registration accuracy between virtual objects and the physical …
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3D machine vision system for robotic weeding and plant phenotyping
… and attitude, thus accomplishing precise 3D point cloud registration from multiple views. Specifically, algorithms of beacon target detection, camera pose tracking, and spatial relationship calibration between 2D and 3D cameras were developed. The phenotypic data obtained by this novel 3D …
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Learning 3D Representations from Data
… generalize to arbitrary data modalities such as point clouds. Finally, 3D annotations are scarce and hard to obtain. Annotating 3D data usually requires more human effort, which hinders supervised learning from 3D data. Therefore, learning 3D representations from data remains challenging and …
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The regulation of tissue proportions: analysis of progenitor behavioural dynamics in response to cell ablation in the zebrafish tailbud.
… for three-dimensional nuclear segmentation, point cloud registration, and the analysis of gene expression intensities and cell tracking data. I first demonstrate that the neural tube and somitic mesoderm are proportionally reduced in elongation following ablation. Then, by combining …
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Mathematical Advancements in Geometric Algebra for 3D Registration Problems
… investigates the reformulation of geometric registration algorithms using Geometric Algebra (GA) to solve transformation problems traditionally handled with Linear Algebra (LA). Geometric transformations play a key role in fields like robotics, computer vision and 3D modelling, as they allow …
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Human Pose Estimation and Algorithms for Alignment and Registration Problems: Applications in Robotics, Computer Vision, and Stroke Rehabilitation
… unit vectors on S2, producing three spherical point clouds per dataset. Build- ing on this representation, we develop (and rigorously analyze) three spherical matchers— SPMC (Spherical Pattern Matching by Correlation), FRS (Fast Rotation Search), and a hybrid SPMC+FRS—that estimate relative …
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Multi-mode imaging for TRISO-fueled pebble identification
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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Computer Vision Applications in Structural Engineering
… (UAV) and georeferencing without Ground Control Points (GCPs), expected to achieve a high efficient in field work. Quantitative assessments were carried out on 1) the positioning accuracy of the georeferenced point clouds generated by the shape monitoring system without GCPs and 2) the shape …
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Image restoration from noisy and limited measurements with applications in 3D imaging
… other state-of-the-art algorithms. Second, a new point clouds registration method is investigated and applied for 3D model reconstruction with a depth camera, which is a recently introduced device with many potential applications in 3D imaging and human-machine interaction. Currently, the depth …