Panoramic image jump method

Abstract

A technical solution of the invention includes a panoramic image jump method, characterized in that the method includes the steps of obtaining a panoramic image acquired by a panoramic acquisition device, and parsing the panoramic image to obtain a plurality of panoramic image coordinates; generating a model view projection matrix based on the OPENGL combined with the panoramic image coordinates and the panoramic image; calculating screen coordinates corresponding to the image coordinates according to the model view projection matrix and an OPENGL viewport matrix; and matching the screen coordinates with the panoramic image coordinates and completing the jump of a sub image according to the matching result. The panoramic image jump method in the invention has the beneficial effect of reducing the hardware cost of an image jump system.

Description

technical field [0001] The invention relates to a panoramic image jumping method, which belongs to the field of computer vision. Background technique [0002] The existing technical solution is based on the idea of ​​panorama roaming, linking the final correction map with spherical coordinates based on the idea of ​​virtual camera imaging, and establishing the connection between panorama coordinates and screen coordinates. [0003] The existing panoramic image jumping schemes are all based on the idea of ​​panoramic image roaming. Every time they move to a certain field of view, the software algorithm needs to update the connection between the correction map and the spherical coordinates. This method requires a huge amount of calculation. On the basis of ensuring real-time performance, the requirements for system hardware configuration are relatively high. Contents of the invention [0004] Aiming at the deficiencies in the prior art, the technical solution of the present...

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Problems solved by technology

[0003] The existing panoramic image jumping schemes are all based on the idea of ​​panoramic image roaming. Every time they move to a certain field of view, the software algorithm needs to update the connection between the correction map and the spherical coordinates. This method requires a huge amount of calculation. On the basis of ensuring real-time performance, there are high requirements for system hardware configuration

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