Hierarchical Energy-transfer Features
Radovan Fusek, Eduard Sojka, Karel Mozdřeň, Milan Šurkala · 2014
In the paper, we propose the novel and efficient object descriptors that are designed to describe the appearance of the objects. The descriptors are called as Hierarchical Energy-Transfer Features (HETF). The main idea behind HETF is that the shape of the objects can be described by the function of energy distribution. In the image, the transfer of energy is solved by making use of physical laws. After the energy transfer process, the function of the energy distribution is obtained by sampling; the image is divided into the cells of variable sizes and the function is investigated inside each cell. Compared with the state-of-the-art methods (e.g. Haar, HOG, LBP features), the proposed descriptors achieved very good detection results. In this paper, we show the robustness of the method for solving the face detection problem.