Abstract
3D reconstruction of human body model is a very important research topic in 3D reconstruction and also a challenging research direction in engineering field. In this paper, the whole pipeline flow of 3D reconstruction of human body model based on incremental motion recovery structure is proposed. Use mobile phone to collect images from different angles and screen them; Secondly, feature extraction and matching under SIFT operator, sparse reconstruction of incremental motion recovery structure, dense reconstruction based on depth map and other processes are carried out. Poisson surface reconstruction is finally carried out to achieve model reconstruction. Experiments show that the effect subject of the reconstructed model is clear.
Highlights
The above reconstruction method has the disadvantage of high cost or insufficient personalization
This paper proposes the overall pipeline process of 3D reconstruction of human model based on a series of 2D images
This chapter will elaborate on the process of making data sets.The data set is the basis of the whole reconstruction process, and the quality of the image plays a decisive role in the final model generation
Summary
The above reconstruction method has the disadvantage of high cost or insufficient personalization.
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