<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Data Fusion of Surface Meshes and Volumetric Representations"^^ . "The term Data Fusion refers to integrating knowledge from at least two independent sources of information such that the result is more than merely the sum of all inputs. In our project, the knowledge about a given specimen comprises its acquisitions from optical 3D scans and Computed Tomography with a special focus on limited-angle artifacts. In industrial quality inspection those imaging techniques are commonly used for non-destructive testing. Additional sources of information are digital descriptions for manufacturing, or tactile measurements of the specimen. Hence, we have several representations comprising the object as a whole, each with certain shortcomings and unique insights. We strive for combining all their strengths and compensating their weaknesses in order to create an enhanced representation of the acquired object. To achieve this, the identification of correspondences in the representations is the first task. We extract a subset with prominent exterior features from each input because all acquisitions include these features. To this end, regional queries from random seeds on an enclosing hull are employed. Subsequently, the relative orientation of the original data sets is calculated based on their subsets, as those comprise the - potentially defective - areas of overlap. We consider global features such as principal components and barycenters for the alignment, since in this specific case classical point-to-point comparisons are prone to error. Our alignment scheme outperforms traditional approaches and can even be enhanced by considering limited-angle artifacts in the reconstruction process of Computed Tomography. An analysis of local gradients in the resulting volumetric representation allows to distinguish between reliable observations and defects. Lastly, tactile measurements are extremely accurate but lack a suitable 3D representation. Thus, we also present an approach for converting them in a 3D surface suiting our work flow. As a result, the respective inputs are now aligned with each other, indicate the quality of the included information, and are in compatible format to be combined in a subsequent step. The data fusion result permits more accurate metrological tasks and increases the precision of detecting flaws in production or indications of wear-out. The final step of combining the data sets is briefly presented here along with the resulting augmented representation, but in its entirety and details subject to another PhD thesis within our joint project."^^ . "2016" . . . . . . . "Andreas"^^ . "Beyer"^^ . "Andreas Beyer"^^ . . . . . . "Data Fusion of Surface Meshes and Volumetric Representations (PDF)"^^ . . . "final_thesis_formatPDF14.pdf"^^ . . . "Data Fusion of Surface Meshes and Volumetric Representations (Other)"^^ . . . . . . "indexcodes.txt"^^ . . . "Data Fusion of Surface Meshes and Volumetric Representations (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Data Fusion of Surface Meshes and Volumetric Representations (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Data Fusion of Surface Meshes and Volumetric Representations (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Data Fusion of Surface Meshes and Volumetric Representations (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #21685 \n\nData Fusion of Surface Meshes and Volumetric Representations\n\n" . "text/html" . . . "004 Informatik"@de . "004 Data processing Computer science"@en . . . "510 Mathematik"@de . "510 Mathematics"@en . .