Occlusion culling method, device and computer equipment

Abstract

The present application provides an occlusion removal method, device and computer equipment. When it is necessary to determine the occluded object in the current frame image, the present application can directly select from the pre-stored predicted depth map after drawing the current frame image. Select the predicted depth map that matches the current viewpoint parameters as the target depth map of the current frame image, so as to use the target depth map to quickly and accurately determine the occlusion culling result of the object in the current frame image, without waiting to draw the current frame image The depth map under the cone of view greatly shortens the waiting time for obtaining the depth map corresponding to the current frame image, improves the efficiency of object occlusion judgment in the image, and because this method reduces the occlusion removal operation overhead, it can be applied to computing Less capable mobile platforms.

Description

technical field [0001] The present application relates to the technical field of image rendering, in particular to an occlusion removal method, device and computer equipment. Background technique [0002] At present, many applications on the market will use image rendering technology, such as games and other applications using virtual reality technology. Usually, in order to reduce the rendering workload of the graphics engine and improve rendering efficiency to ensure smooth operation of the application, Before rendering an image, objects that are invisible due to occlusion in the image to be rendered are often removed, and only currently visible objects are rendered. [0003] In practical applications, software rasterization is usually used to draw the entire depth map of the virtual scene, so that the depth map generated under the viewing cone of the current frame image is used to detect the occlusion relationship of objects in the current frame image, and to Eliminate o...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing occlusion removal method, when detecting the occlusion relationship of objects in the current frame image, it is often necessary to wait for the completion of the depth map under the current viewing cone in the current frame, and then determine the current frame image based on the depth map. The occlusion culling results of medium objects have a large delay, which affects the occlusion culling efficiency, and cannot be applied to mobile platforms with poor computing power

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