Combining appearance, surface normal, and semantic consistency to score candidate camera poses improves indoor visual localization on the InLoc benchmark compared with the DensePV baseline.
Russell, and Josef Sivic
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Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
Combining appearance, surface normal, and semantic consistency to score candidate camera poses improves indoor visual localization on the InLoc benchmark compared with the DensePV baseline.