Panoramic image mapping method

Abstract

The invention discloses a panoramic image mapping method and a reverse mapping method. Among them, the mapping process maps the spherical surface corresponding to the panoramic image or video A to a two-dimensional planar image or video B. First, according to the latitude of the spherical surface, the spherical surface is divided into three regions: respectively recorded as region I, region II and region III; The above three areas are respectively mapped to a square plane I', a rectangular plane II' and a square plane III'; then planes I', II', and III' are combined into a plane; the resulting plane is a two-dimensional plane image or video B . Compared with the existing common mapping methods, the method of the present invention effectively improves the oversampling in high-latitude regions, and can effectively reduce the code rate required for encoding and the complexity of decoding. It relates to the field of virtual reality and can be applied to panoramic images and videos.

Description

technical field [0001] The invention relates to the field of virtual reality (VR), in particular to a new panoramic image mapping method, which can reduce the code rate required for encoding panoramic images and videos, and can be used for panoramic images and videos. Background technique [0002] With the increasing development of virtual reality technology, the demand for virtual reality video in various fields is increasing. Compared with traditional planar images, 360° panoramic images require a wider viewing angle, therefore, panoramic images require higher resolution, and the bit rate required for encoding is also much higher. [0003] None of the existing encoding and storage technologies support spherical surfaces. Therefore, to encode and store panoramic images using existing methods, it is necessary to map the 360° panoramic image onto a two-dimensional plane. Among the existing methods, the most common mapping method is equirectangular mapping, which samples the ...

AI Technical Summary

Problems solved by technology

However, when using this mapping method to map 360° panoramic images, there is a serious oversampling phenomenon in the high-latitude area of ​​​​the sphere, and the code rate required for encoding and the complexity of decoding are high.

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