3-D Reconstruction of Indoor Landscape Panorama Based on RGB-D Video
PubDate: November 2020
Teams: Nanchang Institute of Technology
Writers: Cai Chen
PDF: 3-D Reconstruction of Indoor Landscape Panorama Based on RGB-D Video
Abstract
In order to improve the analysis and recognition ability of indoor landscape full-motion video images, super-resolution reconstruction of indoor landscape full-motion video images is needed. A virtual reality reconstruction method of indoor landscape full-motion video images based on RGB-D video analysis is proposed. The color feature decomposition rules of RGB images are adopted to decompose multi-pixel features of indoor landscape full-motion video images, information fusion is carried out according to the edge contour feature distribution of the images, multi-dimensional pixel spatial distribution feature quantities of the indoor landscape full-motion video images are extracted, super-resolution feature reorganization and block region matching of the indoor landscape full-motion video are carried out through a block grid region feature matching method, and an edge contour detection model of the indoor landscape full-motion video images is established. RGB decomposition of indoor landscape full-motion video image is carried out by wavelet multi-level structure decomposition method, pixel fusion model of indoor landscape full-motion video image is established, and super-resolution visual reconstruction of indoor landscape full-motion video image is realized by pixel region reconstruction method. The simulation results show that the super-resolution reconstruction of indoor landscape full-motion video images using this method has better visual expression ability and higher output peak signal-to-noise ratio.
