1. 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.