Specular Surface

Specular surface analysis focuses on accurately measuring and modeling the shape and reflectivity of highly reflective surfaces, crucial for applications ranging from solar energy to 3D imaging. Current research emphasizes developing advanced techniques like deep learning-based ray tracing and the fusion of polarimetric and deflectometric data to overcome limitations of traditional methods, improving accuracy and efficiency in surface reconstruction. These improvements are driving advancements in diverse fields, including concentrated solar power optimization, industrial inspection, and non-line-of-sight imaging, where precise knowledge of specular surface geometry is essential for accurate scene reconstruction. The development of robust and versatile models, such as NURBS-based representations, is also a key area of focus.