Spatial correlation panoramic data compressing method

Abstract

The invention relates to a spatial correlation panoramic data compressing method which comprises the following steps: (1) camera outer parameters of predicted pictures which correspond to reference piThe invention relates to a spatial correlation panoramic data compressing method which comprises the following steps: (1) camera outer parameters of predicted pictures which correspond to reference pinformation and the depth information of the reference pictures and the newly added scene points of the predicted pictures are coded. The invention uses the relativity of scene spaces among continuouslnformation and the depth information of the reference pictures and the newly added scene points of the predicted pictures are coded. The invention uses the relativity of scene spaces among continuously collected panoramic pictures to compress space redundant information in the panoramic pictures.y collected panoramic pictures to compress space redundant information in the panoramic pictures.ctures are obtained and comprise a camera rotation matrix R and translational quantity T; (2) after the step (1) is completed, the depth information of the reference pictures and the predicted picturectures are obtained and comprise a camera rotation matrix R and translational quantity T; (2) after the step (1) is completed, the depth information of the reference pictures and the predicted pictures is obtained, namely a depth value of each pixel point in the pictures; (3) according to the depth information of the reference pictures and the predicted pictures of the step (2), scene points of ths is obtained, namely a depth value of each pixel point in the pictures; (3) according to the depth information of the reference pictures and the predicted pictures of the step (2), scene points of the reference pictures and the predicted pictures are obtained; (4) according to the obtained camera outer parameters in the step (1), the scene points of the reference pictures and the predicted picture reference pictures and the predicted pictures are obtained; (4) according to the obtained camera outer parameters in the step (1), the scene points of the reference pictures and the predicted pictures obtained in the step (3) are fused by using the spatial correlation to obtain scene points which are newly added by the predicted pictures; and (5) after the step (4) is completed, the self color ies obtained in the step (3) are fused by using the spatial correlation to obtain scene points which are newly added by the predicted pictures; and (5) after the step (4) is completed, the self color i

Description

Spatial Correlation Panoramic Data Compression Method technical field The invention relates to the technical field of panoramic images, and more specifically, relates to a method for compressing continuously collected panoramic data by using spatial correlation. Background technique Panoramic images are stitched together from multiple real-world images taken at a certain point. Its specific generation process is: mapping overlapping images onto simple geometric surfaces, such as spheres, cubes or cylinders, and then stitching the projected images seamlessly to obtain panoramic images. According to the mapped geometry, panoramic images can be divided into cylindrical panoramic images, spherical panoramic images and cubic panoramic images. Panoramic images cover a 360-degree scene range, so their data volume is huge, which causes great difficulties in image storage and transmission. Therefore, panoramic video needs to be compressed and encoded to reduce storage space and ...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is: to overcome the deficiency that the existing method does not make full use of the spatial correlation of the scene and cannot effectively improve the compression ratio of the panoramic image, and to provide a panoramic data compression method utilizing the spatial correlation. , which can effectively compress the spatial redundant information existing in the continuous acquisition of panoramic images, and improve the compression ratio of panoramic image data

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