Semantic Value-driven 3D Upright Posture Figure Model Transformation

doi:10.16182/j.issn1004731x.joss.17DEA-007

Abstract

Abstract: In medical equipment, clothing design, film production and computer games, 3D human body model is an indispensable element, but directly obtaining it by means of scanning the human body model does not directly apply in many environments, so we need to moderate deformation model according to the environment. The operation difficulty of the model of deformation is considered, and the deformation effect is achieved. For studying the 3D human body model deformation problem, the deformation of semantic driven model is introduced. Semantic values of height, leg length and shoulder height were obtained by measuring the position of joint points in the model skeleton so as to adjust model related semantic values and get the deformation of the model.

Key words: 3D model deformation, key point extraction, semantic value measurement, PCA reduction dimension, semantic deformation

CLC Number:

TP391.9

Ren Yangfu, Pu Yuanyuan, Xu Dan, Qian Wenhua. Semantic Value-driven 3D Upright Posture Figure Model Transformation[J]. Journal of System Simulation, 2019, 31(3): 476-485.

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