|
| |
|
|
Rozpoznávání založené na vícerozměrných modelech
Haindl, Michal ; Pudil, Pavel ; Somol, Petr
This chapter explains general model-based approaches to several basic pattern recognition applications followed by a concise description of three fundamental multi-dimensional data model classes. For each model class a solution to parameter estimation and model data synthesis is outlined. Finally an overview of the strengths and weaknesses of studied multi-dimensional data model groups is given.
|
|
|
Texture similarity measure
Vácha, Pavel
This paper surveys the current best texture representations and studies their application for a texture similarity measure development. A simple experiment that evaluates texture similarity is proposed and the performance of several most advanced texture features is verified on it. In order to eliminate the influence of spectral information monospectral textures are considered in this study only. The paper suggests the L1 norm with either Markovian or Gabor features as the best texture similarity measure.
|
|
| |
|
|
Váleček - rychlá metoda syntézy textur založená na vzorkování
Haindl, Michal ; Hatka, M.
This paper describes a method for synthesizing natural textures that realistically matches given colour texture appearance. The novel texture synthesis method, which we call the roller, is based on the overlapping tiling and subsequent minimum error boundary cut. An optimal double toroidal patch is seamlessly repeated during the synthesis step. While the method allows only moderate texture compression it is extremely fast and easily implementable in a graphical hardware for purpose of real-time rendering.
|
|
| |
|
| |
guest ::
