Tree lightweight 3D reconstruction method based on enhanced PyrLK optical flow method

Abstract

The invention discloses a tree lightweight 3D reconstruction method based on an enhanced PyrLK optical flow method. Firstly, for solving problems that a traditional pyramid LK optical flow method does not support rotation of characteristic points and does not have bidirectional coupling performance, enhancement of support affine transformation and reverse direction tracking on the PyrLK optical flow method is carried out, and an instance is given to explain robustness after enhancement; secondly, a complete tree framework is extracted through a three dimensional voxel flooding and linearity fitting method; lightweight at a designated degree on the tree framework is carried out based on combination of vertical and transverse limbs to meet Web lightweight application requirements; then an objective tree modeling reduction degree evaluation method is further provided; lastly, a model improvement method based on user interaction is further provided for acquiring a tree model which can completely meet user demands. Through the method, the 3D tree model having properties of better lightweight and higher accuracy can be acquired.

Description

technical field [0001] The present invention relates to a tree lightweight modeling based on multiple pictures, in particular to a tree lightweight 3D reconstruction method based on enhanced PyrLK (pyramid optical flow method) optical flow method. Background technique [0002] As the most common species in nature, trees are widely used in virtual scenes and have been involved in all aspects of life. Such as real estate models, virtual reality, computer games, construction engineering, urban modeling, scene roaming, etc. As more and more virtual scenes are required, whether trees can be efficiently and accurately modeled directly determines the realism and competitiveness of these applications. [0003] Although mainstream tree modeling methods such as manual modeling and laser scanner reconstruction can obtain relatively accurate tree models, they require professionals, are time-consuming, and expensive equipment, so they are not suitable for general-purpose modeling. Howe...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a tree lightweight 3D reconstruction method based on the enhanced PyrLK optical flow method, aiming to solve the problems of inaccurate feature matching and high requirements for the skeleton extraction method in the existing image-based tree modeling method

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