Method of Constructing 3D Solid Model from 2D Image

Abstract

The invention discloses a method for constructing a three-dimensional solid model from a two-dimensional image, which includes the following steps: obtaining a two-dimensional image; performing grayscale processing; performing fuzzy processing; and performing height calculation processing to construct a three-dimensional model. The method for constructing a 3D solid model from a 2D image of the present invention can automatically convert a 2D image into a 3D model. Even if the user does not have the construction skills of a 3D model, the 3D model can be easily constructed by the present invention. Moreover, compared with the prior art, the three-dimensional model constructed by the present invention has less noise and more in-depth image features.

Description

technical field [0001] The invention relates to an image processing method, in particular to a method for converting a two-dimensional image into a three-dimensional model. Background technique [0002] Three-dimensional printing (3D printing) technology is the most eye-catching technology in recent years. Through 3D printing technology, users can design and draw a 3D model (3D model) by themselves, and use a 3D printer (3D printer) to materialize the drawn 3D model. In this way, a maker (maker) can quickly manufacture the required components or physical objects of the model without using expensive traditional mold opening methods for manufacturing. Due to the above advantages, 3D printing technology has even been hailed as "The Third Industrial Revolution" (The Third Industrial Revolution), and set off a wave of Maker Movement (Maker Movement). [0003] However, the construction of 3D models requires the use of specific rendering software and techniques, which makes it di...

AI Technical Summary

Problems solved by technology

[0008] The 3D solid model produced by the aforementioned method includes a large number of burrs and gaps, and these burrs and gaps become noise of the 3D solid model, which makes the visual effect of the 3D solid model poor.

In other words, due to the interference of the aforementioned noise, the 3D solid model cannot effectively present the image features in the 2D image (such as the outline of the face, the depth of facial features, or the change of light and shadow)

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