  Accurate and fast 3D imaging of specular surfaces still poses major
challenges for state-of-the-art optical measurement principles. Frequently used
methods, such as phase-measuring deflectometry (PMD) or shape-from-polarization
(SfP), rely on strong assumptions about the measured objects, limiting their
generalizability in broader application areas like medical imaging, industrial
inspection, virtual reality, or cultural heritage analysis. In this paper, we
introduce a measurement principle that utilizes a novel technique to
effectively encode and decode the information contained in a light field
reflected off a specular surface. We combine polarization cues from SfP with
geometric information obtained from PMD to resolve all arising ambiguities in
the 3D measurement. Moreover, our approach removes the unrealistic orthographic
imaging assumption for SfP, which significantly improves the respective
results. We showcase our new technique by demonstrating single-shot and
multi-shot measurements on complex-shaped specular surfaces, displaying an
evaluated accuracy of surface normals below $0.6^\circ$.
