Realization method of 3D modeling based on a single picture

Abstract

The present invention is a three-dimensional modeling realization method based on a single picture, which obtains the foreground and background through image segmentation of a single picture input by the user, and recognizes and detects the four structural elements of base, layer, hat and edge in the foreground. Layered modeling and curve Morphing modeling methods are used for 3D reconstruction to achieve smooth, transitional and irregular surface modeling effects, and finally gridded, texture mapped and 3D model format output, and finally 3D modeling is realized. The present invention avoids the huge amount of calculation and complex operation of multi-picture modeling, has good real-time performance, less calculation amount, good visualization effect and broad application prospect and application field.

Description

technical field [0001] The invention belongs to the fields of three-dimensional reconstruction and computer graphics, in particular a three-dimensional modeling realization method of a single picture based on base-edge-hat-layer structure, layer modeling and curve Morphing. Background technique [0002] 3D reconstruction is a mathematical simulation and computer computing technology that reconstructs the 3D information, shape, texture, etc. of an object based on image information. It reconstructs a three-dimensional model with geometric information according to the data information provided by the picture. These 3D models can not only provide functions in virtual simulation, visualization, measurement, analysis, etc., but also have broad application prospects and application fields in the fields of digital cultural relics, 3D printing, virtual reality, augmented reality, and mixed reality. Research methods on 3D reconstruction include 3D reconstruction methods in the sense ...

AI Technical Summary

Problems solved by technology

[0003] Theories and methods based on single image 3D reconstruction technology have achieved certain results, including single image 3D reconstruction based on feature statistical learning method, shape restoration technology, single image 3D reconstruction technology based on geometric projection information, and single image 3D reconstruction technology based on geometric projection information. The single image 3D reconstruction technology achieved a relatively ideal reconstruction effect on the target image with geometric structure, but each method still has its own shortcomings and limitations.

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