SPATIAL AND STATISTICAL ANALYSIS AND PROCESSING OF FRAGMENTS ENSEMBLE OF IMAGE STRUCTURAL DESCRIPTION IN RECOGNITION OF VISUAL OBJECTS

摘要

The task of visual object recognition in computer vision systems using the feature space of special image points is solved based on the statistical distributions for a system of fragments of image description. On the basis of cross-correlation processing of the distribution options for the one-bit blocks of the binary descriptors, a new system of integrated features was constructed for speed-efficient calculation of the description relevance in the process of object recognition. By software simulation, an experimental evaluation of the computation time of the relevance value in the constructed feature space is performed in comparison with the use of full distribution and the traditional voting approach for a set of descriptors. The effectiveness of the proposed system of features in terms of a significant increase in the performance speed with an adequate level of recognition quality is confirmed.