Research map / 3D vision / Depth and stereo
Manifold-Guided Stereo-Monocular Refinement for Endoscopic Stereo Disparity Estimation
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Proposes a manifold-guided stereo-monocular refinement method for dense disparity estimation in endoscopic stereo images.
Problem
Dense stereo disparity estimation in endoscopy, where weak-texture, specular, occluded, or deformed regions degrade tissue correspondence matching.
Approach
Uses a manifold-guided refinement that combines stereo and monocular cues; the abstract critiques existing stereo-monocular methods for treating monocular priors in ways that overlook reliability differences within a frame (full details unavailable).
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