This article describes guidelines and recommendations for acquisition of databases for facial analysis. New devices and methods for both face recognition and facial expression recognition are constantly developed. In order to evaluate these devices and methods, dedicated datasets are recorded. Acquisition of a database for facial analysis is not an easy task and requires taking into account multiple issues. Based on our experience with recording databases for facial expression recognition, we provide guidelines regarding the acquisition process. Multiple aspects of such process are discussed in this work, namely selection of sensors and data streams, design and structure of the database, technical aspects, acquisition conditions and design of the user interface. Recommendations how to address these aspects are provided and justified. An acquisition software, designed according to these guidelines, is also discussed. The software was used for recording an extended version of our previous facial expression recognition database and proved to both ensure correct data and be convenient for the recorded subjects.
Celem projektowanego systemu jest analiza i rozpoznawanie obrazów trójwymiarowych twarzy. Wykorzystując dostępne metody analizy i narzędzia algorytmiczne dąży się do pozyskania, z danych pochodzących ze skanerów 3D, informacji dotyczących wymiarów nosa. Artykuł przybliża aspekty stosowania jednego z głównych podejść do zagadnienia analizy obrazów 3D, tj. deskryptorów punktów. Przybliżono istniejące rozwiązania. Rozważono różne podejścia do wyboru punktów sąsiednich. Omówiono dobór skali i skwantowania. Wprowadzono odległość między deskryptorami. Pokazano też, jak zastosować deskryptory w rozpoznawaniu obrazów.
EN
The purpose of designed system is to analyze and recognice three-dimensional face images. Using known techniques, algorithms and tools I am aiming to retrieve nose parameters directly from 3D scans. Current part is devoted to describe different aspects of point descriptors usage. Wide range of known approaches is explained. Several methods of neighborhood analysis are considered. Distance measure of two descriptors is introduced. Possible methods of quantization are described. At the end, application of Hungarian algorithm for descriptors matching is shown.
The paper presents an algorithm enabling a fully automatic detection of characteristic areas on thermograms containing patients' faces in a front projection. A resolution of problems occurring at the segmentation of face images, such as a change of position, orientation and scale, has been proposed. In addition, attempts to eliminate the effect of the background and of disturbances caused by the haircut and the hairline were made. The algorithm may be used to detect selected points and areas of a face or as a preliminary component in the face recognition, as a development of optical analysis methods or in the quantitative analysis of face on thermograms.
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