Search for dissertations about: "three-dimensional 3D reconstruction"
Showing result 16 - 20 of 25 swedish dissertations containing the words three-dimensional 3D reconstruction.
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16. On Virtual Surgical Planning in Cranio-Maxillofacial Surgery
Abstract : The complex three-dimensional (3D) anatomy of the cranio-maxillofacial (CMF) region makes surgery a challenging task. Virtual surgical planning (VSP) has the potential to increase accuracy, reproducibility and shorten operation time. READ MORE
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17. Efficient Structure and Motion: Path Planning, Uncertainty and Sparsity
Abstract : This thesis explores methods for solving the structure-and-motion problem in computer vision, the recovery of three-dimensional data from a series of two-dimensional image projections. The first paper investigates an alternative state space parametrization for use with the Kalman filter approach to simultaneous localization and mapping, and shows it has superior convergence properties compared with the state-of-the-art. READ MORE
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18. Design and characterization of nanoparticles and their assemblies : Transmission electron microscopy investigations from atomic to mesoscopic length scales
Abstract : Transmission electron microscopy (TEM) is a powerful and versatile tool for investigating nanomaterials. In this thesis, various transmission electron microscopy techniques are used to study the chemical and structural features of different types of inorganic nanoparticles of well-defined morphologies as well as their assemblies. READ MORE
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19. Computerized Alignment and Deformation Correction of Microscopic Serial Section Images of Nervous Tissue
Abstract : This thesis describes an investigation into digital techniques for image alignment and deformation correction with special reference to serial light and electron microscopic images. These techniques are applied in three-dimensional (3D) reconstruction of nervous tissue, especially the superficial gray matter of the brain - cortex cerebri. READ MORE
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20. Low Rank Matrix Factorization and Relative Pose Problems in Computer Vision
Abstract : This thesis is focused on geometric computer vision problems. The first part of the thesis aims at solving one fundamental problem, namely low-rank matrix factorization. We provide several novel insights into the problem. In brief, we characterize, generate, parametrize and solve the minimal problems associated with low-rank matrix factorization. READ MORE