Polarized 3D: High-Quality Depth Sensing with Polarization Cues Achuta Kadambi, Vage Taamazyan, Boxin Shi, and Ramesh Raskar Camera Culture Group, MIT Media Lab Contribution Verification Results Robustness to various lighting condition Uncontrolled lighting, complex object Low-cost depth sensing Depth + normal fusion Shape from polarization Correcting normals from polarization A passive 3D camera capturing high-quality shape Robust to lighting, material variation, and diffuse interreflection Robust shape reconstruction fusing normals and depths Solution Exploiting normals from polarization to enhance the quality of a coarse depth map A physics-based framework, wherein the coarse depth map is used to resolve azimuthal ambiguity and correct for refractive distortion A spanning tree integration schemes, specifically designed for polarization normals, which uses the degree of polarization as a weighting parameter Robustness to various material Full gradients Mini. Spanning Tree Comparison with HQ Laser Scan Surface: GT Full integ. MST integ. Robustness to diffuse interreflection Depth: GT Kinect Pol. Ours Normal: GT Kinect Pol. Ours Compare with other depth enhancement techniques Take-home message: “Coarse depth map + normals from polarization” reconstructs 3D shape with various materials, under uncontrolled lighting condition, and with diffuse interreflection.