• Continuous Signed Distance Functions for 3D Vision 

      Haugo, Simen; Stahl, Annette; Brekke, Edmund (2017 International Conference on 3D Vision (3DV 2017);, Journal article, 2017)
      We explore the use of continuous signed distance functions as an object representation for 3D vision. Popularized in procedural computer graphics, this representation defines 3D objects as geometric primitives combined ...
    • Iterative Closest Point with Minimal Free Space Constraints 

      Haugo, Simen; Stahl, Annette (Chapter; Peer reviewed, 2020)
      The Iterative Closest Point (ICP) method is widely used for fitting geometric models to sensor data. By formulating the problem as a minimization of distances evaluated at observed surface points, the method is computationally ...
    • Minimal Free Space Constraints for Implicit Distance Bounds 

      Haugo, Simen; Stahl, Annette (Chapter; Peer reviewed, 2020)
      A general approach for fitting implicit models to sensor data is to optimize an objective function measuring the quality of the fit. The objective function often involves evaluating the model’s implicit function at several ...
    • Simple Shapes for Localization and Mapping 

      Haugo, Simen (Master thesis, 2017)
      Inspired by a procedural scene modelling technique in computer graphics, we investigate the use of continuous signed distance functions to model objects as geometric primitives, transformed and combined with set operations ...