An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping

8 September 2016

Papers citing "An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping"

4 / 4 papers shown

Title
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image Feng Liu Xiaoming Liu 3DPC 22 30 0 04 Nov 2021
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction Rohan Chabra J. E. Lenssen Eddy Ilg Tanner Schmidt Julian Straub S. Lovegrove Richard Newcombe 29 462 0 24 Mar 2020
SegMap: Segment-based mapping and localization using data-driven descriptors Renaud Dubé Andrei Cramariuc Daniel Dugas H. Sommer Marcin Dymczyk Juan I. Nieto Roland Siegwart Cesar Cadena 27 179 0 27 Sep 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 47 3,622 0 16 Jan 2019