A Lossless Enlargement Method of 3D Scene Based on Rendering to Texture

Abstract

The invention provides a three-dimensional scene lossless amplification method based on rendering to texture. The amplification ratio is set, the RTT is set to be a target rendering object, a three-dimensional model to be amplified is rendered to the RTT, the texture in the RTT serves as the texture of the Overlay and is displayed on a screen, and the lossless amplification process is completed. By means of the three-dimensional scene lossless amplification method based on rendering to texture, any local part of a three-dimensional scene can be amplified in a lossless mode, the amplification ratio can be regulated, and meanwhile the requirement for the shape of the model to be amplified in the three-dimensional scene does not exist.

Description

technical field [0001] The invention relates to a three-dimensional scene lossless amplification method based on rendering to texture, and belongs to the field of three-dimensional visualization. Background technique [0002] With the rapid development of computer graphics and image technology, the demand for 3D visualization technology shows a significant growth trend. The 3D display software in the prior art generally displays a large range of 3D scenes and contains a huge amount of information, and local details in the 3D scenes are often not fully displayed. Although almost all 3D display software has scene zoom-in and zoom-out functions, which can realize a certain degree of overall zoom-in or zoom-out of all scenes in the 3D view, but for the observation of local details, this method cannot achieve good results. If you simply zoom in on a local image without optimization of a special algorithm, it is only equivalent to drawing a smaller image on a larger blank image, ...

AI Technical Summary

Problems solved by technology

The 3D display software in the prior art generally displays a large range of 3D scenes and contains a huge amount of information, and the local details in the 3D scenes are often not fully displayed.

Although almost all 3D display software has the function of zooming in and out of the scene, which can achieve a certain degree of overall zooming in or zooming out of all the scenes in the 3D view, but for the observation of local details, this method cannot achieve good results

If the local image is simply enlarged without special algorithm optimization, it is only equivalent to drawing a smaller image on a larger blank image, and the generated image will inevitably become blurred or have a mosaic effect. The accuracy is lost, and the purpose of observing local details cannot be achieved

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