2 research outputs found
Inverse rendering of polished materials under constant complex uncontrolled illumination
Inverse rendering infers realistic descriptions of illumination and material properties from photographs. However,
the applicability of state of the art inverse rendering algorithms in real world scenarios is currently limited by the
many assumptions made, eg. controlled or simple illumination. In this paper we concentrate on estimating polished
materials and describe an inverse rendering system that works under constant complex uncontrolled distant
illumination. In particular, we develop an analytical dual angular frequency space shading model for polished
materials. We use this shading model in algorithms for estimating homogeneous materials, textures, illumination
and both homogeneous materials and illumination simultaneously to the correct scale. We verify the algorithms
experimentally in two indoor spectrally different real world scenarios. Furthermore, some of the practical challenges
and problems inherent to inverse rendering under complex uncontrolled illumination are discussed
Inverse Rendering of Polished Materials under Constant Complex Uncontrolled Illumination
Inverse rendering infers realistic descriptions of illumination and material properties from photographs. However, the applicability of state of the art inverse rendering algorithms in real world scenarios is currently limited by the many assumptions made, eg. controlled or simple illumination. In this paper we concentrate on estimating polished materials and describe an inverse rendering system that works under constant complex uncontrolled distant illumination. In particular, we develop an analytical dual angular frequency space shading model for polished materials. We use this shading model in algorithms for estimating homogeneous materials, textures, illumination and both homogeneous materials and illumination simultaneously to the correct scale. We verify the algorithms experimentally in two indoor spectrally different real world scenarios. Furthermore, some of the practical challenges and problems inherent to inverse rendering under complex uncontrolled illumination are discussed