Blar i NTNU Open på forfatter "Haugo, Simen"
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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 ... -
Progressive integration of visibility constraints for implicit functions
Haugo, Simen; Stahl, Annette (Peer reviewed; Journal article, 2022)Procedurally-defined implicit functions, such as CSG trees and recent neural shape representations, offer compelling benefits for modeling scenes and objects, including infinite resolution, differentiability and trivial ... -
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 ...