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Continuous Signed Distance Functions for 3D Vision
2017
2017 International Conference on 3D Vision (3DV)
This paper explores 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 with constructive solid geometry and transformed by nonlinear deformations, scaling, rotation or translation. Unlike their discretized counterpart, that have become important in dense 3D reconstruction, the continuous distance function is not stored as a sampled volume,
doi:10.1109/3dv.2017.00023
dblp:conf/3dim/HaugoSB17
fatcat:prn3qekth5fcbnckhpfcsmiojy