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Research map / 3D vision / Depth and stereo

Joint Multiview Segmentation and Localization of RGB-D Images Using Depth-Induced Silhouette Consistency

CVPR 2016 · 3D vision › Depth and stereo · approach: Scene coordinate regression for localization · 4 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use joint multiview segmentation and localization with depth-induced silhouette consistency instead of RGB-D alignment alone (ablation)RGB-D object scanning · Tomcat and Musicboxmodel reconstruction errorHelped
Jointly optimize silhouettes and camera poses with silhouette consistencyRGB-D object scanning · Tomcat, Musicbox, Donkey, Dragon, Chair, Horse, Plant, Gundam, Bag, Bag2segmentation error rate: Tomcat: 0.35 vs 0.35; Bag: 0.23 vs 0.20Mixed
Jointly optimize silhouettes and camera poses with silhouette consistencyRGB-D object scanning · Tomcat, Musicbox, Donkey, Dragon, Chair, Horse, Plant, Gundam, Bag, Bag2calibration ratioHelped
Add depth-induced silhouette consistency to RGB-D alignment (ablation)RGB-D object scanning · Tomcat and Musicboxmodel reconstruction errorHelped
Propagate silhouette constraints across all views, not only neighboring viewsMultiview segmentation and localization · RGB-D object scanningpose accuracyHelped

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