Acoustic Pattern Recognition Technology Based on the Viola-Jones Approach for VR and AR Systems

EasyChair Preprint 4258

Abstract

The ability to solve problems of graphic images recognition in VR, AR, MR and XR systems is highlighted as one of the most important. The urgency of solving problems of recognition and classification of acoustic images has been substantiated, which will bring the quality of VR, AR, MR and XR systems closer to real reality (RR). Independent solution of graphic and acoustic patterns recognition problems using heterogeneous algorithmic and software tools is attributed to the disadvantages of modern systems. The study proposes an approach that allows the use of unified methodological and software tools for the simultaneous solution of graphic and acoustic patterns recognition problems. The proposed approach is based on converting acoustic information into graphic information using 2D-images of dynamic sonograms. This allows the recognition of acoustic patterns using unified algorithmic and software tools. It is proposed to use the Viola-Jones technology as such a unified tool. It is shown that the implementation of a two-stage determination of similarity measures of primitives and areas of the original image makes it possible to increase the speed of algorithms. For this purpose, at the first iteration, it is proposed to use not the graphic primitives themselves, but their coordinate projections. In the study, by analogy with Haar's features, parametrizable acoustic primitives were developed, presented in the classical graphical version, as well as in the form of coordinate projections

Keyphrases: Graphic and Acoustic Patterns, Recognition and classification, Viola-Jones algorithm

@booklet{EasyChair:4258,
  author    = {Alexander Alyushin and Sergey Dvoryankin},
  title     = {Acoustic Pattern Recognition Technology Based on the Viola-Jones Approach for VR and AR Systems},
  howpublished = {EasyChair Preprint 4258},
  year      = {EasyChair, 2020}}