Title: Optimisation of computer virtual image reconstruction method based on feature point matching

Authors: Chiyu Pan

Addresses: Department of Art and Design, Mudanjiang Normal University, Mudanjiang-157012, China

Abstract: Traditional computer virtual image reconstruction methods have the problems of slow reconstruction speed and insufficient image clarity. To solve this problem, an optimisation method of computer virtual image reconstruction based on feature point matching is proposed. SURF operator is used to extract image feature points. After obtaining feature points, image feature points are matched according to TZNCC constraints. The virtual image is reconstructed by sparse method, and the high resolution depth image in virtual vision is represented by dictionary sparse linear combination. The sparse coefficient of the image is solved by alternating direction multiplier algorithm, and the problem of virtual image reconstruction is transformed into a problem of solving sparse signal, so that a better reconstruction effect can be obtained. The experimental results show that the proposed method has high speed and clarity of image reconstruction.

Keywords: feature point matching; computer; virtual image; reconstruction.

DOI: 10.1504/IJICT.2022.121780

International Journal of Information and Communication Technology, 2022 Vol.20 No.3, pp.258 - 269

Received: 04 Aug 2020
Accepted: 21 Aug 2020

Published online: 07 Apr 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article