Institute of Information Theory and Automation

PASIMA - Perceptual Analysis and Simulation of Real-World Materials Appearance

Project leader: Prof. Ing. Michal Haindl, DrSc., Ing. Jiří Filip, Ph.D.
Department: RO
Supported by (ID): 239294
Grantor: Foreign Grantor
Type of project: theoretical
Duration: 2010 - 2012
More info: here
Publications at UTIA: list


The main goal of this project is to identify relationships between human perception of real-world materials properties and corresponding computational features. We will use Bidirectional Texture Functions as state-of-the-art digital representation of illumination and view dependent real-world material appearance as an initial data for our analysis. We believe that rigorous analysis of human perception of individual visual effects in different material samples will allow us not only understand principles of human perception of real material surfaces but also to develop a more efficient acquisition, modelling, and editing methods of this type of massive but very accurate data. The observed material properties are surface specularity, translucency, roughness, anisotropy, directionality, back-scattering, among others. We will study the perceptual importance of these properties as well as their mutual dependency and dependency on type of material and illumination and viewing conditions. We will use established models of low-level human perception, however, we will also exploit psychophysical studies as a main source of knowledge about the way how human observers perceive more complex material surface properties. We will use real-time renderings of visually rich view and illumination dependent material measurements as test stimuli allowing the observer to freely control lighting and viewing conditions during the experiment. As an input data we are going to use publicly available view and illumination dependent surface texture samples, however, our long-term goal is a development of flexible and efficient sample measurement setup that does not sample the space of view and illumination directions uniformly as it is common in the previous setups, but rather takes advantage of obtained knowledge about human perception of individual types of real-materials to produce their very accurate but significantly reduced and thus easily applicable digital representation.
Responsible for information: RO
Last modification: 30.04.2012
Institute of Information Theory and Automation