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InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

CVPR 2018 • Hajime Taira • Masatoshi Okutomi • Torsten Sattler • Mircea Cimpoi • Marc Pollefeys • Josef Sivic • Tomas Pajdla • Akihiko Torii

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract

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INDOOR LOCALIZATION

POSE ESTIMATION

VISUAL LOCALIZATION

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InLoc

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ScanNet

Matterport3D

SUN3D

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InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

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