scholarly journals 3D reconstruction of human body model based on incremental Motion recovery structure

2022 ◽  
Vol 355 ◽  
pp. 03026
Author(s):  
Shiheng Zhang ◽  
Shaopeng Zhang ◽  
Jianyang Chen ◽  
Xiuling Wang

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.

1996 ◽  
Author(s):  
Haruhiko Sato ◽  
Takayuki Yanagishima ◽  
Toshimichi Hanai ◽  
Noritoshi Yoshitsugu

2020 ◽  
Author(s):  
Bastian Wandt

Abstract This dissertation deals with the problem of capturing human motions and poses using a single camera. The frst part of the thesis proposes two closely related approaches for the 3D reconstruction of human motions from image sequences. To resolve inherent ambiguities in monocular 3D reconstruction the main idea of this part is to exploit temporal properties of human motions in combination with a human body model learned from training data. The second part of the thesis tackles the problem of reconstructing a human pose from a single image. A human body model is learned by training a deep neural network that covers nonlinearities and anthropometric constraints. C O N T E N T S 1 Introduction ….. 1 1.1 Applications and Commercial Systems . . . . . . . . . . . 1 1.2 Image-based Motion Capture . . . . . . . . . . . . . . . . 2 1.3 Contributions . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3.1 Time Consistent Human Motion Reconstruction . 6 1.3.2 RepNet . . . . . . . ...


2021 ◽  
Vol 2026 (1) ◽  
pp. 012027
Author(s):  
Shuai Zhao ◽  
Jifeng Sun ◽  
Hongshi Ou ◽  
Yinggang Li

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