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 30 for “"3D Point Clouds"”.
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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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Assessing the quantitative and qualitative differences between 3D point clouds produced from lidar and structure from motion
… study is to compare the quality and accuracy of point clouds and digital elevation products derived from Unmanned Aerial System (UAS) acquired Structure from Motion (SfM) as compared to those obtained from lidar data. If the accuracy of UAS SfM proves to be on the same order as lidar, the …
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Virtual-Real Object Registration and Shape Completion for Stable and Accurate Augmented Reality Technology
… and 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 …
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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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Applications and Development of Intelligent UAVs for the Resource Industries
… map workings and digitally reconstruct them into 3D point clouds for a wide variety of applications. Underground mines can be expansive with inaccessible and dangerous areas preventing safe access for traditional inspections, mapping and monitoring. In addition, abandoned mines and historic mines …
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A study of Symmetric and Repetitive Structures in Image-Based Modeling
Creating photo-realistic 3D digital models from street-view imagery has many important applications and involves fundamental vision problems. We investigated the paradox of having similar or repetitive structure in the input image data. In general, prior knowledge of structure regularity helps with …
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Broadband World Modeling and Scene Reconstruction
… The disparity maps are then transformed into 3D point clouds. These point clouds are filtered again before the registration process is done. The registration uses a SAC-IA matching technique to align the point clouds with minimum error. The registered final cloud is then filtered again to …
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Human identification using ear biometrics: A complete pipeline from detection to recognition
… conditions and pose variations. Therefore, 3D images can be used to overcome the limitations of 2D images. Recent developments in 3D imaging techniques open the door for 3D image-based applications, including biometrics, robotics, medical diagnosis, and autonomous driving. Generally, 3D data …
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3D city scale reconstruction using wide area motion imagery
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a field that has gained traction over the recent years. It consists in using an …
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Tracking Human Movement Indoors Using Terrestrial Lidar
… raster images, while Percept utilized real-time 3D point clouds to detect and track human movement. The deep learning approach, specifically the YOLOv5 model, demonstrated high accuracy with an F1 score of 0.879. In contrast, OpenCV methods, while less computationally demanding, showed lower …
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Autonomous Sample Collection Using Image-Based 3D Reconstructions
… These are derived from data provided by colored 3D point clouds produced via image-based 3D reconstructions. A custom robotic mobility platform, the Scoopbot, is introduced to perform completely automated imaging of the sampling area and also to pick up the desired sample. The Scoopbot is …
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GAUSSIAN PROCESSES FOR 3D SHAPE MODELLING OF NOISY AND INCOMPLETE DATA. AN APPLICATION TO HUMAN EARS RECONSTRUCTION
Mathematical modelling of 3D shapes is a requirement in a vast and increasing number of applications, especially when it comes to the human shape. Despite being an active branch of research, with many proposed solutions, some settings remain particularly challenging. An example of such an open …
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Digital State Models for Infrastructure Condition Assessment and Structural Testing
… are defined herein as any transient or permanent 3D model of an object (e.g. textured meshes and point clouds) combined with any electromagnetic radiation (e.g., visible light, infrared, X-ray) or other two-dimensional image-like representation. In this study, digital state models are built using …
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Co-Designing Efficient Systems and Algorithms for Sparse and Quantized Deep Learning Computing
… complex, expanding from 1D text and 2D images to 3D point clouds, while their size continues to grow exponentially. This trend highlights the need for greater efficiency. This thesis systematically explores efficiency in two resource-intensive domains—autonomous driving and generative AI—by …
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Identification of Weather Conditions Related to Roadside LiDAR Data
… rain, snow, and wind conditions as the collected 3D point clouds of surrounding objects may drift. Weather-caused impacts can lead to difficulties in data processing and even accuracy compromise. Consequently, solutions are desired and sought, focused on the issue that the affected data have been …
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System Design and Analysis for Creating a 3D Virtual Street Scene for Autonomous Vehicles Using Geometric Proxies from a Single Video Camera
… of the environment around the vehicle is a 3D point cloud, or a set of 3D data points which represent the positions of objects in the real world relative to the car. However, while accurate and useful, these point clouds require large amounts of memory compared to other representations such …
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Modeling Forest Canopy Distribution from Ground-Based Laser Scanner Data
… Data were translated into three dimensional (3D) point clouds with points corresponding to surfaces visible from the scanner vantage point. A 20 m x 40 m permanent plot located in upland deciduous forest at Coweeta, NC was assessed with 41 and 45 scans gathered during periods of leaf-on and …
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Integrative and Multi-scale Deep Learning for 3D Point Cloud Transmission Corridor Scene Segmentation: Noise Filtering, Attention-Fused Feature Integration, and Panoptic Network
… It enables the acquisition of high-density 3D point clouds with pulse repetition frequencies ranging from 100Hz to 2MHz. However, the increased overlap with atmospheric points has posed challenges in noise filtering and 3D point cloud quality. This dissertation proposes the Noise Seeking …
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Representation Learning for Agents in Non-Markovian Environments
… our focus towards acquiring representations of 3D environments using deep learning techniques. We extend the object-centric learning literature to parse 3D point clouds into a set of object-level representations in an unsupervised fashion. These representations encompass object instances and …
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Representation Learning for Agents in Non-Markovian Environments
… our focus towards acquiring representations of 3D environments using deep learning techniques. We extend the object-centric learning literature to parse 3D point clouds into a set of object-level representations in an unsupervised fashion. These representations encompass object instances and …
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