Local Detail Feature Extraction of VR Panoramic Image Based on Parallax Estimation
Due to the influence of environmental background,visual bias and other factors,it is difficult to extract detailed features of VR panoramic images.In order to optimize the local detail feature extraction effect of VR panoramic image,a local detail feature extraction method of VR panoramic image based on parallax estimation was proposed.On the basis of equalizing the gray value of VR panoramic image,the noise of VR panoramic image is removed to construct human visual model,retrieve the denoised VR pan-oramic image,and obtain the parallax information of VR panoramic image.The parallax value is estimated by matching cost calculation,cost aggregation calculation,parallax calculation and post-processing calcu-lation,and the local details of VR panoramic image are detected and extracted by SIFI algorithm.The experimental data show that the local detail feature point detection results obtained by the proposed method are consistent with the actual results,and the minimum parallax estimation error is 0.3 Pixel,confirming that the proposed method has good local detail feature extraction performance.
NETL
NSTL
万方数据
维普
