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Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classifiers. Each classifier is trained for a specific range of angles of the rotation head. The results showed a high rate of productivity for CEDT on images with standard size. The algorithm increases the...
An eye center localization algorithm based on multi-block local binary patterns is described. Performance of the suggested algorithm is compared to other popular approaches on standard BioID and FERET image databases. Additional test on images with two types of distortions: Additive white Gaussian noise and JPEG compression is considered. The impact of eye center localization accuracy on face recognition...
In this paper an eye center localization algorithm based on multi-block local binary patterns is described. Performance of the suggested algorithm is compared to another methods based on Bayesian approach and image gradients. Visual examples of eye center localization results are provided.
The real-time audience measurement system consists of five consecutive stages: face detection, face tracking, gender recognition, age classification and in-cloud data statistics analysis. The challenging part of such system is age estimation algorithm on the basis of machine learning methods. The face aging process is determined by different factors: genetic, lifestyle, expression and environment...
This paper concerns with the problem of obtaining the diamond-like carbon (DLC) films. DLC films have high hardness, low friction coefficient, low electrical conductivity, chemical inertness, high thermal conductivity and other valuable properties. Due to these properties DLC films are used as protective, dielectric, antireflecting, antifriction and biocompatible coatings. The most popular methods...
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