A method for converting naked-eye 3D animation images

Abstract

A method for converting naked-eye 3D animation image includes the following conversion steps: S1, defining the depth of field, 2, controlling the parallax, S3, image segmentation, S4, grayscale imagecreation, S5, mesh model reconstruction, S6, 3D image conversion processing and S7, after the conversion of the 3D image fine-tuning processing, the finer the image segmentation, the 3D world generated by depth extraction and depth assignment has more depth sense, the more realistic the stereoscopic sense of the picture. Based on the transformation of the original 3D animation images, at the timeof carrying out image segmentation processing on the 2D animation image, the depth sense of 3D animation image is enhanced with the detail degree of image segmentation, which makes the 3D animation image clearer and provides the viewer with a better viewing experience.

Description

Technical field [0001] The invention relates to the technical field of naked-eye 3D animation, in particular to a naked-eye 3D animation image conversion method. Background technique [0002] Naked-eye 3D technology, that is, the left and right eyes can see two different hair faces with parallax from the display screen without any tools, and launch them to the brain, and people will have a three-dimensional effect. The glasses-style 3D technology also uses the parallax principle of the human eye, by sending different images to the left and right eyes of the viewer to achieve a three-dimensional visual effect. [0003] The existing 3D animation images are all obtained from 2D images through a series of processing, but the current 3D animation image technology, after long-term viewing, some people will experience dizziness, because the 3D image is not clear after conversion. The result is that the stereo perception is not strong. To be precise, when the 2D animation image is segment...

AI Technical Summary

Problems solved by technology

[0003] Existing 3D animation images are all obtained from 2D images through a series of processing, but the current 3D animation image technology, after long-term viewing, some people will appear dizzy, because the 3D images are not clear after conversion. As a result, the three-dimensional effect is not strong. To be precise, when the 2D animation image is segmented, the 3D depth sense generated by its depth extraction and depth assignment is poor, which affects the viewing experience. Therefore, we propose a Glasses-free 3D animation image conversion method