E. GENE PARILOV
| Normal maps with discontinuities
|| Numerical methods for Nonlinear Optics
|| Parametric synthesis
| Detection of skin features
|| Human skin rendering
|| Closeup photography
The main focus in my doctoral thesis is on fundamental algorithms and practical methods for
detection, statistical modeling, and GPU real-time rendering of curvilinear features which can
be found in many real-world textures.
A new model for random Gibbsian fibre processes has been developed to support generating variety of
texture patterns based on curvilinear features. This model of Gibbsian fibre processes allows forming
random non-stationary curvilinear networks with some degree of regularity, and provides an intuitive set of
parameters which directly defines fibre local configurations and global pattern of fibres.
My research interests, in general, go beyond Computer Graphics and include mitlidisciplinary
research on methods for acquiring, analyzing, numerical and statistical modeling, predicting the
data which describe variety of natural phenomena, with emphasis on mathematics and numerical
simulation of the processes. details--
Ph.D. thesis: "Detecting, modeling and rendering complex configurations of curvilinear features",
Jan. 2009, pdf--
Co-founder and Vice President of Research and Development at Simphotek Inc. (NJ) since Feb 2007.