Method for integrated imaging micro-unit image parallel generation based on particle tracking

Abstract

The invention discloses a method for integrated imaging micro-unit image parallel generation based on particle tracking. The method is mainly used for solving the problems that an existing micro-unit image generation method is poor in degree of parallelism and low in speed. The method mainly comprises the following steps that (1) a three-dimensional terrain scene is generated; (2) a micro lens is placed; (3) a micro-unit image array plane is placed; (4) a pixel point number is obtained; (5) tracking particles are emitted; (6) the tracking particles are moved; (7) color of an initial emitting point is replaced by background color; (8) the color of the initial emitting point is replaced by surface color; (9) whether the tracking particles exist or not is judged; (10) the tracking particles are moved continuously; (11) whether a pixel point number value is equal to N or not is judged; (12) a result is generated. On the basis that the imaging quality of a generated micro-unit image is guaranteed, the method for integrated imaging micro-unit image parallel generation based on particle tracking has the advantages of being high in degree of parallelism and high in operation speed.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a method for parallel generation of integrated imaging micro-unit images based on particle tracking in the technical field of integrated imaging. The invention can quickly obtain micro-unit images taken from different angles, and realizes three-dimensional optical reconstruction of objects in combination with an integrated imaging display device. Background technique [0002] In 3D integrated imaging, it is often necessary to generate a micro-unit image array based on a 3D scene. The traditional micro-unit image generation method, one is to use the CPU to generate a micro-unit image array according to the object model according to the method of ray tracing; the other is to use a three-dimensional rendering engine similar to Microsoft Direct3D (hereinafter referred to as D3D), according to the virtual surface model, rendering each microcell image one by one. When ...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that the data source only considers the geometric parallax information of the original three-dimensional object viewed at certain angles, compared with the original three-dimensional object, a large amount of geometric information is lost, so the obtained micro-unit Image arrays are less effective

However, the disadvantages of this method are that, firstly, when the method is executed, the color value of each pixel of the micro-unit image array is affected by many points in the three-dimensional scene, so if the method runs in parallel, it will be difficult to guarantee Each pixel in the micro-unit image array obtains the correct color value, so this method is not suitable for parallel operation, cannot take advantage of the powerful capabilities of the GPU, and is slow

Secondly, this method only uses patches to build a 3D terrain grid, so in the process of traversing all patches to obtain the color values ​​of pixels, it is difficult to ensure that each pixel of the micro-unit image array obtains the color value of the nearest patch. Color value, so that the micro-unit image array that does not consider the occlusion relationship of three-dimensional objects will be obtained by mistake

These disadvantages result in slower microcell image generation and poorer quality microcell image arrays

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