On optimal resampling of view and illumination dependent textures

The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materi- als. One example of such data is the bidirectional texture function. The main disadvantage of these data, that makes their further ap- plication very difficult, is their massive size. Perceptually-based methods can determine optimal uniform resampling of these data that allows considerable reduction of a number of view and illumi- nation dependent samples. In this paper we propose to achieve this goal by means of a psychophysical study, comparing original data rendering with rendering of their uniformly resampled version over the hemisphere of illumination and view dependent textural mea- surements. The resampling was done separately for elevation and azimuthal angles as well as in illumination and view space. Our results shown promising consequences for compression and mod- eling algorithms using this kind of massive data © 2008 ACM.