Projective texture mapping-based oblique projection distortion correction method

Abstract

The invention discloses a projective texture mapping-based oblique projection distortion correction method. The projective texture mapping-based oblique projection distortion correction method comprises the following steps of: 1, establishing models of a projector, a projection screen and an observer; 2, mapping a texture image to the projection screen through projective texture mapping, wherein the observer is regarded as a virtual projector; 3, applying colors to the projection screen after the projective texture mapping and acquiring a deformed image that a virtual observer observes, wherein the projector is regarded as the virtual observer and the deformed image is a pre-deformed image that a projection system needs during image correction; and 4, applying the pre-deformed image in the step 3 serving as a projected image to the actual projection system to realize geometric distortion correction of the projected image. By the projective texture mapping-based oblique projection distortion correction method, defects and limitation of estimating projection transformation parameters are overcome and cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of projection image distortion correction of a visual projection system, and more specifically relates to an image distortion correction method for obliquely projecting a projector onto a spherical or aspheric (including front projection) display screen. Background technique [0002] Visual projection system is an important system for image and video information presentation, mainly including projector, projection screen and computer hardware and software equipment. Such as figure 1 As shown, the process in which the projector 2 projects the image generated by the computer onto the screen 1 is called projection imaging. The projection imaging process can be regarded as a projection transformation between the projection image 3 and the screen image 4 . Under the ideal projection transformation, the projected image and the screen image are visually consistent, and there is no geometric deformation between th...

AI Technical Summary

Problems solved by technology

[0005] 2. Pincushion distortion

In this method, bilinear transformation and quadratic curve adjustment are very time-consuming and need to be adjusted according to human subjective feelings, so the operation is difficult

In addition, the above two types of methods all assume that there is a certain transformation model between the projection image and the screen image. In a more complex projection environment, such as the projection screen is an arbitrary curved surface, these model assumptions are likely to be invalid, resulting in irreversible model errors.

Therefore, it has great limitations

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