Polarized 3D: High-Quality Depth Sensing with Polarization CuesAchuta Kadambi, Vage Taamazyan, Boxin Shi, and Ramesh Raskar

Camera Culture Group, MIT Media Lab

Contribution

Take-home message:

Verification

Solution

Compare with other depth enhancement techniques

o Exploiting normals from polarization to enhance

the quality of a coarse depth map

o A physics-based framework, wherein the coarse

depth map is used to resolve azimuthal

ambiguity and correct for refractive distortion

o A spanning tree integration schemes,

specifically designed for polarization normals,

which uses the degree of polarization as a

weighting parameter

“Coarse depth map + normals from polarization” reconstructs 3D shape with various materials, under uncontrolled lighting condition, and with diffuse interreflection.

Low-cost depth sensing

Correcting normals from polarization

Depth + normal fusion

Shape from polarization

o A passive 3D camera capturing high-quality shape

o Robust to lighting, material variation, and diffuse interreflection

o Robust shape reconstruction fusing normals and depths

Full gradients Mini. Spanning Tree

Surface: GT Full integ. MST integ.

Depth: GT Kinect Pol. Ours Normal: GT Kinect Pol. Ours

o Robustness to various lighting condition

o Robustness to various material

o Robustness to diffuse interreflection

Resultso Uncontrolled lighting, complex object

Comparison with HQ Laser Scan