AI RESEARCH

PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications

arXiv CS.CV

ArXi:2603.23071v1 Announce Type: new Polarimetric imaging enables advanced vision applications such as normal estimation and de-reflection by capturing unique surface-material interactions. However, existing applications (alternatively called downstream tasks) rely on datasets constructed by naively regrouping raw measurements from division-of-focal-plane sensors, where pixels of the same polarization angle are extracted and aligned into sparse images without proper saicking. This reconstruction strategy results in suboptimal, incomplete targets that limit downstream performance.