Published 12 issues per year
ISSN Print: 0040-2508
ISSN Online: 1943-6009
Indexed in
DETERMINATION OF RELEVANCE OF VISUAL OBJECT IMAGES BY APPLICATION OF STATISTICAL ANALYSIS OF REGARDING FRAGMENT REPRESENTATION OF THEIR DESCRIPTIONS
ABSTRACT
The problem of visual object recognition in the space features of descriptors of special image points is solved with the application of statistical distributions for a system of fragments of image description. The efficiency of application of the distribution variants for single- and multi-bit sizes of the fragments of binary descriptors in the calculation of the level of relevance of descriptions in the process of object recognition is analyzed. Using software simulation, an experimental evaluation of the computation time of the relevance value in the constructed feature space is carried out compared to the traditional voting approach of the set of descriptors. The efficiency of the proposed approach to data representation in terms of a significant increase in the performance rate with ensuring a sufficient level of recognition quality is confirmed.