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.
Results
Showing 1 to 20 of 84 for “"3D data"”.
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Harnessing data priors to mitigate 3D data scarcity
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Use of live video overlay on 3D data for distributed collaborative review
… However, for sharing three-dimensional (3D) data, it is difficult to support such approaches of using hands and real ink in a seamless way. This thesis proposes a new system design called AnnoScape as an approach to performing a remote collaborative review of 3D digital data using a live …
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Deep Learning Approach for Cell Nuclear Pore Detection and Quantification over High Resolution 3D Data
… cell nuclear pores in high-resolution 3D microscopy data is critical for cellular biology and disease research. This thesis introduces a deep learning pipeline crafted to automate the segmentation and quantification of nuclear pores from high-resolution 3D cell organelle images. Our aim …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications.
… directly or indirectly to the extraction of 3D information from a wide variety of types of scenes and conditions of image capture. The research work presented in this thesis is aimed at three distinct applications in this area: interactively extracting 3D points from a pair of uncalibrated …
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Reconstruction of 3D scenes from pairs of uncalibrated images. Creation of an interactive system for extracting 3D data points and investigation of automatic techniques for generating dense 3D data maps from pairs of uncalibrated images for remote sensing applications
… directly or indirectly to the extraction of 3D information from a wide variety of types of scenes and conditions of image capture. The research work presented in this thesis is aimed at three distinct applications in this area: interactively extracting 3D points from a pair of uncalibrated …
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Tools for acquired scene analysis and transmission
… twitter or facebook. Moreover, searching for 3D navigation in any search engine can provide an increasing number of instances where the full 3D models of cities are available to users for a virtual walk through. From research viewpoint, design of such virtual environments needs to address two …
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Geomorphologic Evaluation of the Gulf of Mexico, Northwest Garden Banks, and Supra/Inter/Subsalt Architectural Influences on Possible Reservoir Characterization from the Miocene to Pleistocene Epochs
… a focus on the Miocene epoch. The use of 2D and 3D data for the analysis of sediment feeders, shelf-margin location, timing of salt diapirism, faulting, and fluid migration can lend useful clues to the spatial patterns of plays. The 3D data focus mainly on blocks 236, 237, 191, 192, and 193. The …
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Multi-scale data sketching for large data analysis and visualization
<p>Analysis and visualization of large data sets is time consuming and sometimes can be a very difficult process, especially for 3D data sets. Therefore, data processing and visualization techniques have often been used in the case of different massive data analysis for efficiency and accuracy …
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Compact 3D Representations
The need to compactly represent 3D data is motivated by the ever-increasing size of these data. Furthermore, for large data sets it is useful to randomly access and process a small part of the data. In this thesis we propose two methods of compactly representing 3D data while allowing random …
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Semiregular Degenerate Refinement for 3D Discrete Global Grid Systems
… have led to unprecedented amounts of 3D data becoming available about the Earth. With this, technologies that facilitate the efficient integration and management of geospatial data are becoming increasingly important. Hierarchical partitionings of the surface of the Earth, known as …
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From objects to worlds: scalable learning of 3D assets
Learning to reconstruct and generate the 3D world is a fundamental research problem in computer vision, with critical applications across diverse domains. However, the development of robust 3D generation and reconstruction systems is hindered by the scarcity of high-quality 3D data. This thesis …
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Process Digitalization: 3D Deep Learning in Manufacturing Applications
… company. As well, given the importance of 3D data in the industry, the research also conducts a deep dive on working with, analyzing, and integrating 3D data into an AI model using various techniques, from statistical analysis to 3D deep learning. Discussion on the different data …
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Learning 3D Representations from Data
… in an image, but they fail to reason about 3D geometry. Second, the current success in the 2D domain is mainly due to the advance in convolutional neural networks (CNNs). However, CNNs do not generalize to arbitrary data modalities such as point clouds. Finally, 3D annotations are scarce and …
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Network architecture for large-scale distributed virtual environments
Distributed Virtual Environments (DVEs) provide 3D graphical computer generated environments with stereo sound, supporting real-time collaboration between potentially large numbers of users distributed around the world. Early DVEs has been used over local area networks (LANs). Recently with the …
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Novel methods of image compression for 3D reconstruction
Data compression techniques are widely used in the transmission and storage of 2D image, video and 3D data structures. The thesis addresses two aspects of data compression: 2D images and 3D structures by focusing research on solving the problem of compressing structured light images for 3D …
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Three-Dimensional Face Processing and Its Applications in Biometrics
… of this thesis include: (1) large-scale 3D data collection and data annotation, which resulted in the largest static 3D face database and the first audiovisual 3D dynamic face data collection system in the world; (2) a robust, fast and accurate 3D face reconstruction and animation …
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H3DNET: A Deep Learning Framework for Hierarchical 3D Object Classification
… to learn multiple levels of features from raw data. However, 3D deep learning is relatively new but in high demand with their great research values. Current research and usage of deep learning for 3D data suffer from the limited ability to process large volumes of data as well as low …
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Object Localization, Segmentation, and Classification in 3D Images
… problem of identifying objects of interest in 3D images as a set of related tasks involving localization of objects within a scene, segmentation of observed object instances from other scene elements, classifying detected objects into semantic categories, and estimating the 3D pose of detected …
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Generative 3D scene modeling: algorithm and applications
The ability to generate realistic and functional 3D scenes at scale is becoming increasingly important across domains such as agriculture, autonomous driving, immersive gaming, and robot learning. However, manually constructing such environments is prohibitively expensive and often introduces …
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