National Repository of Grey Literature 17 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Ir.M.A. - Infrared Measurement and Analysis of Accommodation and Vergency
Jindra, Tomáš ; Dušek, Jaroslav (advisor) ; Páta, Petr (referee)
This work is dealing with design of the systém for measuring dynamics of the vergence and accommodation. Vergence accommodation synkinesis is a complex process controlled by various mechanisms in CNS. Deviations from physiological state of the vision process are projected to course of the vergence accommodation curves and is possible the quantitative and qualitative evaluation. For this purpose was designed the measuring system Ir.M.A. (Infrared Measurement of Accommodation). The system uses high-speed videometric device for determination of the relative vergence and relative accomodation of the eyes. Stimulation of the patient's eyes is performed by the standardized jump change of the fixation object distance. The object is reconstruted by holographic method. Measured videosequences are processed by the image analysis. Results of the image analysis are courses of the vergence and accommodation curves depending on time and characteristics of the curves. System is designed for using in clinical practice where it could be used as screening instrument for diagnostics of the oculomotor system disorders.
Analysis and Suppression of Noise in Astronomical Video
Švihlík, J. ; Fliegel, K. ; Koten, Pavel ; Jerhotova, E. ; Vítek, S. ; Páta, P.
This paper is devoted to noise suppression in systems for double station observation of meteors, nowadays known as MAIA (Meteor Automatic Imager and Analyzer). The noise analysis based on acquisition of testing video sequences at different lighting conditions and their statistical evaluation were described in our previous paper The measurement showed that the type of noise generated by the system is signal-independent in a certain illumination range. The noise and image models in the wavelet domain are based on the Generalized Laplacian Model (GLM) and it is the most convenient to estimate the model parameters using the moment method. Furthermore, the noise component may be modeled by the GLM also in the space domain. Overall, we verified that the GLM allows for modeling various types of probability density functions. In the final section of this paper, the performance of the proposed advanced de noising algorithm is verified on the real data, which were acquired in the Astronomical Institute.

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7 Páta, Petr
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