Publikasjoner og ansvarsområder
Void Filling of Digital Elevation Models With Deep Generative Models
In recent years, advances in machine learning algorithms, cheap computational resources, and the availability of big data have spurred the deep learning revolution in various application domains. In particular, supervised learning techniques in image analysis have led to a superhuman performance in ...
Standardization and Innovative Applications Essential for Deployment of IGA in Industry
A challenge for the deployment of IGA in industry is existing solutions (CAD, FEA) and the legacy and bulk of preexisting digital information. Rather than focusing on application areas dominated by FEA, IGA should focus on novel applications areas where fewer established solutions exist and the lega...
Trivariate Spline Representations for Computer Aided Design and Additive Manufacturing
Digital representations targeting design and simulation for Additive Manufacturing (AM) are addressed from the perspective of Computer Aided Geometric Design. We discuss the feasibility for multi-material AM for B-rep based CAD, STL, sculptured triangles as well as trimmed and block-structured triva...
A machine learning approach to reverse engineering based on clustering and approximate implicitization
CAxMan: Computer-Aided Technologies for Additive Manufacturing
Workflows and design software for additive manufacturing
Workflow og design software for additiv tilvirkning...