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MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment

MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment

A. Bokovoy
K. Muravyev
Konstantin Yakovlev
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Papers citing "MAOMaps: A Photo-Realistic Benchmark For vSLAM and Map Merging Quality Assessment"

2 / 2 papers shown
Title
Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation
Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation
A. Bokovoy
K. Muravyev
Konstantin Yakovlev
30
8
0
12 Sep 2020
Matterport3D: Learning from RGB-D Data in Indoor Environments
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel X. Chang
Angela Dai
Thomas Funkhouser
Maciej Halber
Matthias Nießner
Manolis Savva
Shuran Song
Andy Zeng
Yinda Zhang
3DV
3DPC
95
1,880
0
18 Sep 2017

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