Despite its importance in AR/VR, industrial inspection, or medical imaging, the robust and accurate 3D measurement of shiny and specular surfaces remains a considerable challenge for current state-of-the-art approaches. This talk presents a series of metrology-inspired techniques that leverage efficient illumination encoding combined with additional imaging modalities, such as polarization, for high-quality Computational 3D Imaging on specular and shiny surfaces. Amongst other projects, a novel approach for eye tracking that uses deflectometric information will be introduced. Deflectometry is a well-known technique in optical 3D metrology for the measurement of specular surfaces, and our group has developed a family of “computational deflectometry” approaches for the fast and accurate measurement of the eye’s gaze direction. Instead of relying on sparse point-source reflections to estimate gaze, our techniques sample the eye surface at over 40,000 points in single shot, allowing for eye tracking with high accuracy. Potentials and limitations of different approaches will be discussed.