Space-time isosurface evolution for temporally coherent 3D reconstruction

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Occupancy Networks: Learning 3D Reconstruction in Function Space (2018, background): “This idea is related to classical level set [10, 14, 50] approaches to multi-view 3D reconstruction [18,24,32,40,53,78].”
Modelling dynamic scenes by registering multi-view image sequences (2005, methodology): “Some methods go beyond this hypothesis by taking into account the tangent plane to the object [3, 6, 2, 4].”
Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction (2014, background): “[12], [11] with a level set representation of the space-time surface.”
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score (2007, methodology): “The matching measure at a point relies on a local approximation of the surface, either by a fronto-parallel plane [20, 12] or at best by the tangent plane [8, 13, 6, 9].”