Nhận dạng đối tượng dựa trên các đặc trưng "sparse feature" của ảnh màu

Bài báo này trình bày một phương pháp nhận dạng đối tượng dựa trên các đặc trưng sparse feature của ảnh màu..... "In this paper, we propose a new framework for extraction of sparse features of color images. The framework is based on the structure of the standard model of the visual cortex: however, in place of symmetric Gabor filters, Gabor energy filters are utilized. Color information is taken into account in calculating sparse features of objects. The learning stage yields a set of prototype patches of color components that are simultaneously chosen over spatial position, spatial size, and multiple scales. A set of sparse features is obtained by means of the localized pooling method, after which is passed to a classifier for object recognition and classification. The experimental results confirm the significant contribution of our framework in object recognition." @ryanong